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Abstract

This study deals with demand forecasting for the carsharing system with multi-station and flexible returning station and time. Neural network is employed as the simulation model to forecast the demand at each station at certain time period in the system. This study distin...Lead moreThis study deals with demand forecasting for the carsharing system with multi-station and flexible returning station and time. Neural network is employed as the simulation model to forecast the demand at each station at certain time period in the system. This study distinguished from the previous study because it introduces intelligent filtering techniques as a tool to remove the noise of the data before it is fed into the simulation model. Two filtering techniques have been tested, namely outlier analysis and cluster analysis. Results show that this extra procedure helps to enhance the forecasting model as well as improve the forecasting accuracy.

Abstract

Compared to standalone approach, coordinated on-ramp queue control has the advantage that traffic signal and demand information of upstream intersections can be integrated into the algorithms of queue calculation, and therefore has potential to improve queue control perfo...Lead moreCompared to standalone approach, coordinated on-ramp queue control has the advantage that traffic signal and demand information of upstream intersections can be integrated into the algorithms of queue calculation, and therefore has potential to improve queue control performance. In this paper, a simulation study was conducted to compare queue control performance between a coordinated algorithm and a standalone algorithm, under different ramp demand and other key parameters. The results show that the application of coordinated algorithm can improve queue control performance in terms of efficient use of ramp storage capacity, the number of override, and smoothness of exit rates.

Abstract

Stereovision and motion analysis have traditionally been thought of as separate modules for object detection. In fact, fusion of these two methods may generate some distinct benefits. This paper proposes two schemes of fusing stereo and motion for improving object detecti...Lead moreStereovision and motion analysis have traditionally been thought of as separate modules for object detection. In fact, fusion of these two methods may generate some distinct benefits. This paper proposes two schemes of fusing stereo and motion for improving object detection and tracking. The basic idea is to make use of information extracted from two pairs of image sequences captured from a stereovision rig, i.e. disparity from left and right image pair and motion fields from consecutive images. The first scheme is to impose the motion vectors as extra constraints for stereo matching. The second scheme is using a Kalman filter as a mixer to combine the distance measurement and the motion vector measurement for object tracking. The experimental results demonstrate that the proposed method is effective for improving the quality of stereo matching and 3-dimensional object tracking.

Abstract

Traffic flow theory is the foundation for traffic planning, design, control, supervision and decision-making. A scientific traffic flow model can properly deal with the severe conflict between traffic apply and demand , efficiently analyse and solve some actual traffic ma...Lead moreTraffic flow theory is the foundation for traffic planning, design, control, supervision and decision-making. A scientific traffic flow model can properly deal with the severe conflict between traffic apply and demand , efficiently analyse and solve some actual traffic matters.Since the last decade of 20thcentury ,researchers on various fields have recognized the complexity of traffic flow which attracted many traffic scientists, mathematicians, physicists and economists into this area.The paper reviews the recent discoveries on and developments of the traffic flow theory, and analyzes the main difference between the researchers from the Micro and Macro Modelling. In the light of research practices and investigating the differences and relations of these two kinds of research methods，we put forward some new views on traffic flow modeling development on the basis of research.

Abstract

In this paper, referring to the concepts of Qualitative Reasoning, the concepts, such as Homogeneous Measure Index (HMI), are utilized to calculate the cross-lane synchronized degree of the traffic flow. The actual data of Beijing Third Ring Road are presented to describe...Lead moreIn this paper, referring to the concepts of Qualitative Reasoning, the concepts, such as Homogeneous Measure Index (HMI), are utilized to calculate the cross-lane synchronized degree of the traffic flow. The actual data of Beijing Third Ring Road are presented to describe the procedure of a traffic jam formation, and the concepts proposed in this paper are used to describe and explain such procedure. From the empirical data of traffic flow, we find out that for a multi-lane road, before the traffic jam formation, the HMI of the traffic flow will change abruptly and the state transition: homogeneous state (H-S) to non-homogeneous state (N-S) is likely to be occurred. Therefore, the HMI can be taken into account as a pre-warning index of the traffic jam formation.

Abstract

Microscopic traffic simulation, an effective analysis approach for traffic channel, management and control schemes, has become one of interested research field in intelligent traffic. Traffic flow is a complex multi-agent system, and person-vehicle is main body in traffic...Lead moreMicroscopic traffic simulation, an effective analysis approach for traffic channel, management and control schemes, has become one of interested research field in intelligent traffic. Traffic flow is a complex multi-agent system, and person-vehicle is main body in traffic flow. In order to simulate real traffic flow exactly, a hybrid architecture of driver-vehicle agent, combined cognitive architecture with reactive architecture, is presented and modeled in this paper. The memory structure of driver-vehicle agents is studied in depth. The structure relations of multi-agent are characterized by artificial potential field，and effective communication range is defined, so as to enhance communication efficiency among agents. A microscopic traffic simulator, is developed, and effectivity of our approach is demonstrated by experimental results.

Abstract

With the expansion of city, transportation infrastructures have been built from ground to air and underground. In the past, we put too much attention to construction, however, the notion is changing, and management is getting more and more important, especially after the ...Lead moreWith the expansion of city, transportation infrastructures have been built from ground to air and underground. In the past, we put too much attention to construction, however, the notion is changing, and management is getting more and more important, especially after the infrastructure construction. In order to have an effective traffic management and traffic guide on urban expressway, we have to make correct evaluation on urban expressway traffic. This paper will introduce you an urban expressway traffic information-management and analysis-evaluation system based on GIS, from which we can get static and dynamic traffic information, service marks of parts of or entire expressway. In this paper, it gives an introduction of the function, design of the system in detail. Finally, an example of shanghai will be given to explain the application of the system.

Abstract

With the development of economy, Shanghai, the biggest city of China, suffers from severe traffic congestion. The elevated expressways in downtown Shanghai are highly clogged during peak hours as well as off-peak hours. To improve traffic situation of elevated expressway ...Lead moreWith the development of economy, Shanghai, the biggest city of China, suffers from severe traffic congestion. The elevated expressways in downtown Shanghai are highly clogged during peak hours as well as off-peak hours. To improve traffic situation of elevated expressway without adding more infrastructure and creating negative impacts on environment, an ATMS for elevated expressway has been established. Considering the complexity of elevated expressway network, regional-oriented and dynamic traffic management strategy was proposed for ATMS. This paper presents system framework and main functions of ATMS. The field equipment part of this ATMS consists of real-time traffic data collection subsystem, traffic guidance and control subsystem, and real-time surveillance subsystem. This paper gives the detailed introduction of the features of these subsystems. In addition, it gives the evaluation results for ATMS demonstration project and gives recommendations for further research.

Abstract

Grid and SOA technology has been considered as an effective approach for Intelligent Transportation Systems (ITS) to solve the problem of heterogeneous traffic information and business integration, and improve efficiency of the transportation systems. But the current prot...Lead moreGrid and SOA technology has been considered as an effective approach for Intelligent Transportation Systems (ITS) to solve the problem of heterogeneous traffic information and business integration, and improve efficiency of the transportation systems. But the current protocols in Grid and SOA can not effectively support discovery, negotiation, and invocation of ITS services at a semantic level. In this paper, we present an ontology-based service oriented information integration architecture that consists of two new aspects. The first aspect is to present our traffic domain ontology model and traffic application ontology model. The second aspect is to utilize our traffic ontology model to integrate and share distribute and heterogeneous traffic information. This architecture has been partly implemented in DartGrid – our fundamental platforms for the sharing of the knowledge and services in Intelligent Transportation Systems and Traditional Chinese Medicine.

Abstract

This paper has developed a model to predict motorway link journey times based on journey time data measured by ANPR cameras. Consideration was given to the fact that ANPR cameras provide direct journey time with good accuracy. In incident-free traffic condition, a simply ...Lead moreThis paper has developed a model to predict motorway link journey times based on journey time data measured by ANPR cameras. Consideration was given to the fact that ANPR cameras provide direct journey time with good accuracy. In incident-free traffic condition, a simply linear model has been developed for one-step-ahead prediction (5 minutes ahead), and the Kalman filter algorithm has been used for multi-step-ahead prediction. The Kalman filter model developed in this research has been shown to be effective in predicting journey time and acceptable errors have been obtained using this model. The average relative prediction error was found to increase with the length of the prediction interval. With a 20-minute interval, the prediction error remains under 10%. However, significant increases in the prediction error were observed at 30-minute prediction period.

Abstract

With the development of wireless communication technologies, vehicle infrastructure integration systems have been proposed to tackle many transportation-related problems. In such a system, inter-vehicle communication (IVC) will be crucial for relaying location- and time-c...Lead moreWith the development of wireless communication technologies, vehicle infrastructure integration systems have been proposed to tackle many transportation-related problems. In such a system, inter-vehicle communication (IVC) will be crucial for relaying location- and time-critical traffic information. In this paper, we are interested in the problem how road-side stations can improve connectivity of IVC in a traffic stream. We first propose an analytical model for the connectivity problem and then study some examples of different densities and positions of road-side stations. This study can help develop effective strategies for installing road-side stations under different traffic conditions.

Abstract

Emergency evacuation plans are critical to reducing damages caused natural or human-made disasters. In this paper, we present a framework for developing and evaluating evacuation strategies based on a kinematic wave model of network vehicular traffic. We then discuss a me...Lead moreEmergency evacuation plans are critical to reducing damages caused natural or human-made disasters. In this paper, we present a framework for developing and evaluating evacuation strategies based on a kinematic wave model of network vehicular traffic. We then discuss a measure of the effectiveness of evacuation plans and apply the model to study a simple road network. This model is suitable for emergency evacuations, since road networks can be easily set up and calibrated, computational cost is independent of the number of vehicles, and traffic congestions caused by capacities of road links and network structure can be effectively simulated.

Abstract

Abstract: The UK Office of Science and Technology has just completed a project under its Foresight Programme to explore how science and technology might be applied over the next 20-50 years to the design and implementation of Intelligent Infrastructure Systems that are ro...Lead moreAbstract: The UK Office of Science and Technology has just completed a project under its Foresight Programme to explore how science and technology might be applied over the next 20-50 years to the design and implementation of Intelligent Infrastructure Systems that are robust, sustainable and safe. The Foresight results have been presented at the 2005 and 2006 World Congresses and formed the basis for the Ministerial Debate led by Dr Ladyman, Mister of State for Transport in the UK. This paper discusses three key aspects of the foresight work, the scenarios, the smart market protocols for auction based congestion and carbon trading and what a future connected world could deliver.

Abstract

A robust road sign recognition method is proposed in this paper. Templates of road sign images are represented as a hierarchical structure of some component blocks. In the paper approaches for block selection and for hierarchical structure construction are our contributio...Lead moreA robust road sign recognition method is proposed in this paper. Templates of road sign images are represented as a hierarchical structure of some component blocks. In the paper approaches for block selection and for hierarchical structure construction are our contributions. Existing block based methods require that template images having sufficient texture, but which is not the situation for road signs. In our method, blocks used as basic matching units (BMU) are selected based on calculations of their penetration numbers. And the hierarchical structure is formed by comparing the cover areas of different subsets of all BMUs. Experiments on actual video clips taken by in-vehicle cameras proved the robustness and efficiency performance of our method.

Abstract

This paper examines which potential barriers have to be overcome in order to enable a widespread implementation of Automated Urban Transport Systems (AUTS). This is mainly based on work carried out for the CyberCars and CyberMove projects. Work in these as well as in othe...Lead moreThis paper examines which potential barriers have to be overcome in order to enable a widespread implementation of Automated Urban Transport Systems (AUTS). This is mainly based on work carried out for the CyberCars and CyberMove projects. Work in these as well as in other related projects has produced a wealth of evidence for potential benefits of innovative transport technologies for providing more sustainable urban mobility, but implementation has been very slow so far.. The implementation strategy suggested here includes a staged introduction of AUTS to prepare the market and to prove the technology, education of the market to address unfamiliarity with AUTS and securing funding.

Abstract

This article focuses on how to extract travel time from AVI data. The traffic flow of each city have different feature, so the method used in travel time prediction must be according to the feature. No matter on line or off line, we need extract travel time from AVI detec...Lead moreThis article focuses on how to extract travel time from AVI data. The traffic flow of each city have different feature, so the method used in travel time prediction must be according to the feature. No matter on line or off line, we need extract travel time from AVI detector data to furnish or predict travel time. First, the article gives a way to filter most of the outlier data while the integrality of the data is maintained. Second the article brings forward a new prediction method to be used at night. Third the method reduces the calculation complexity and is capable to use in application. This article presents an effective and applicable method to extract travel time from AVI data on second ring road in Beijing.

Abstract

Preceding vehicle detection is a major research field of Safety Assistant Driving System. The paper proposed a preceding vehicle detection method based on multi-characteristics fusion of vehicle taillight at night. First, order-preserving method is selected to segment the...Lead morePreceding vehicle detection is a major research field of Safety Assistant Driving System. The paper proposed a preceding vehicle detection method based on multi-characteristics fusion of vehicle taillight at night. First, order-preserving method is selected to segment the images. Then the preceding vehicles are identified through the fusion of circular characteristics, symmetrical characteristics, edge characteristics and NMI characteristics of taillight. Experimental results have confirmed the reliability and effectiveness of the proposed method.

Abstract

there are several image segmentation methods corresponding to different illumination conditions in this article. All of them have good robustness and reliabilities. However, it is well known that one algorithm couldn’t do well under all the conditions. Therefore, it is ne...Lead morethere are several image segmentation methods corresponding to different illumination conditions in this article. All of them have good robustness and reliabilities. However, it is well known that one algorithm couldn’t do well under all the conditions. Therefore, it is necessary to design algorithm classifier to judge what illumination condition. If illumination condition is determined the corresponding image segmentation method will be selected directly, based on this lane mark line can be properly recognized depending on Hough Transform.

Abstract

Driver fatigue and loosing alertness are the major reason of severe traffic accidents. In current studies, the method based on vision has been a leading technique. In JLUVA-DFWS(Jilin University Vision Alarm-Driver Fatigue Warning System) system realized before, there are...Lead moreDriver fatigue and loosing alertness are the major reason of severe traffic accidents. In current studies, the method based on vision has been a leading technique. In JLUVA-DFWS(Jilin University Vision Alarm-Driver Fatigue Warning System) system realized before, there are two shortcomings: one is the lower detecting speed with skin color model and the other is the face features’ detecting robustness with the face area rectangle as ROI (Region of Interest) of detected features. This paper presents a method to resolve the problem. The method uses AdaBoost detector combined with skin color model to detect the face region efficiently, adopts Random Hough Transform to fit an ellipse template based on the face edge point detection and detects the features in ellipse template robustly. Test results show that the method can locate the face region efficiently and detect the features effectively.

Abstract

Driver distraction always results in vehicle departing from the running lane which easy leads to traffic accidents. This article introduces lane departure warning system based on monocular vision developed by Jilin University. First, the system hardware and the image proc...Lead moreDriver distraction always results in vehicle departing from the running lane which easy leads to traffic accidents. This article introduces lane departure warning system based on monocular vision developed by Jilin University. First, the system hardware and the image processing algorithms for different illuminations are introduced briefly. Then, the automatic adjustment of internal parameters and the physical aperture for CCD is also described. Finally, practical road experiments of this system in different illuminations are carried out and the experimental results show that this Lane Departure Warning System can adapt to variable illuminations with good performances in robust, reliable and accuracy.

Abstract

This research investigates the effect of driver accident history on driver needs and acceptability for intelligent transport systems (ITS). In particular, a survey on Greek drivers took place within the framework of the EU project SARTRE 3, also involving driver attitudes...Lead moreThis research investigates the effect of driver accident history on driver needs and acceptability for intelligent transport systems (ITS). In particular, a survey on Greek drivers took place within the framework of the EU project SARTRE 3, also involving driver attitudes towards specific ITS. These attitudes are analysed together with the drivers accident history, and the results indicate that accident history influences drivers attitudes towards ITS. The driver attitudes are also discussed within the framework of Greek driver particularities, which justify specific observed trends.

Abstract

Based on the qualitative and quantitative analysis, this study concludes that different types of vehicles do have different characteristics which influent the results of travel time estimation based on the probe data collected by them when using as traffic probes. In addi...Lead moreBased on the qualitative and quantitative analysis, this study concludes that different types of vehicles do have different characteristics which influent the results of travel time estimation based on the probe data collected by them when using as traffic probes. In addition, the mean link travel time of taxi and transit vehicles is longer than common light personal vehicles in most situations. When taxi is used as traffic probe, the median instead of the mean link travel time may be used to improve the estimation results. As for the military and police vehicles, the mean link travel time may be longer or shorter than common light personal vehicles depending on the situations.

Abstract

Lots of researches focused on networks with toll roads these years. However, a problem emerges that the inefficient entries (exits) of the toll roads may affect the equilibrium of the whole network. This paper is denoted to find out the quantitative effects of toll roads ...Lead moreLots of researches focused on networks with toll roads these years. However, a problem emerges that the inefficient entries (exits) of the toll roads may affect the equilibrium of the whole network. This paper is denoted to find out the quantitative effects of toll roads entries (exits). First, an abstract road network with toll roads is constructed, and the travel time functions of different kinds of links are gained. A user equilibrium model of networks with capacity constraints of the tolling sub-network’s entries (exits) is presented, and an Augmented Lagrangean Dual Algorithm is applied. Finally, a numerical example is given.

Abstract

Traffic volume forecast is an important task for an intelligent transportation system. Accurate forecast results can assist traffic management department with making traffic control strategies in advance. Improved nonparametric and neural network methods are used in traff...Lead moreTraffic volume forecast is an important task for an intelligent transportation system. Accurate forecast results can assist traffic management department with making traffic control strategies in advance. Improved nonparametric and neural network methods are used in traffic volume forecast. Application of Grey system theory is also studied. A fusion forecast method is developed to improve forecast accuracy on the basis of analyzing other methods. Traffic volume data from Beijing's 2nd ring road are used to test each of the methods mentioned above. The test results indicate that forecast method based on data fusion performs better and has practical value.

Abstract

An innovative motorist-initiated incident detection method using wireless positioning technology, such as Global Positioning System (GPS) and Cellular Phone Positioning System (CPS) is developed. Then, the basic detection algorithm is presented. The position information a...Lead moreAn innovative motorist-initiated incident detection method using wireless positioning technology, such as Global Positioning System (GPS) and Cellular Phone Positioning System (CPS) is developed. Then, the basic detection algorithm is presented. The position information and operating characteristics of reporting vehicles are detected using wireless positioning system and is transferred by Global System for Mobile Communications (GSM) networks. According to the information, the Traffic Management Center (TMC) can position the incident accurately in short order. The validity of this incident detection method is proved by a simulation model and the detecting performances are evaluated under different traffic and incident conditions.

Abstract

Two types of polling schemes, namely time-based intervals and space-based intervals, for a probe vehicle system are investigated in this paper for providing more insight into the cost-effectiveness in real time traffic data collection. The preliminary characteristics of t...Lead moreTwo types of polling schemes, namely time-based intervals and space-based intervals, for a probe vehicle system are investigated in this paper for providing more insight into the cost-effectiveness in real time traffic data collection. The preliminary characteristics of two schemes are examined and compared from the simulated lower polling frequency data. Subsequently, the performances of data at various polling frequencies are then measured and compared from the aspects of map-matching accuracy and link travel time/speed estimation accuracy.

Abstract

A signal control algorithm based on fuzzy logic by optimizing the phases’ order of traffic signal is presented in this paper. Compared with traditional signal fuzzy control algorithm, the proposed algorithm possesses flexible phase combination and less delay time, it can ...Lead moreA signal control algorithm based on fuzzy logic by optimizing the phases’ order of traffic signal is presented in this paper. Compared with traditional signal fuzzy control algorithm, the proposed algorithm possesses flexible phase combination and less delay time, it can make full use of green time, solute the imbalance of traffic flow and adapt to the real-time change of traffic status very well at an intersection. Simulation results indicate the presented control algorithm in the paper could reduce vehicles’ mean delay time greatly, it is a practicable and useful method for urban intelligent traffic control.

Abstract

This paper presents the framework and major functions of an integrated program for unconventional arterial intersection design. The proposed program features its integration of a build-in knowledge base and the interactive analysis tools, which aims to provide a better un...Lead moreThis paper presents the framework and major functions of an integrated program for unconventional arterial intersection design. The proposed program features its integration of a build-in knowledge base and the interactive analysis tools, which aims to provide a better understanding and convenient evaluation of all unconventional intersection types. Various factors, related to traffic analysis, safety concerns, cost estimation, and pedestrian impacts can be included in the evaluation framework through user-friendly interfaces. A case study is presented to show the applicability of the proposed system with respect to the selection and design of unconventional intersections under user-specified scenarios.

Abstract

Taking the construction of PGIS in Shanghai Xujiahui area as a background, this article discusses the methods and models of urban PGIS planning and design from the angle of traffic function design. Fuzzy AHP is used to screen the parking lots that can be integrated into P...Lead moreTaking the construction of PGIS in Shanghai Xujiahui area as a background, this article discusses the methods and models of urban PGIS planning and design from the angle of traffic function design. Fuzzy AHP is used to screen the parking lots that can be integrated into PGIS. The principle and method of zoning guidance service range was established, also the principles of information classification and three-level guidance thought. Taking the guidance information amount as the objective function, an optimized model was build to decide the amount and locations of level two PGI signs. The detailed design of VMS was given.

Abstract

The queues of vehicles at signalized intersections are often irregular and longer than expected. Such queues block upstream intersections and make optimal utilization of lanes impossible. This paper presents a model that gives an accurate and reliable estimate of the prob...Lead moreThe queues of vehicles at signalized intersections are often irregular and longer than expected. Such queues block upstream intersections and make optimal utilization of lanes impossible. This paper presents a model that gives an accurate and reliable estimate of the probability distribution of the back of the queue. The results show that the queues that occur in 20% of the cycles can be twice of more longer than is calculated by conventional methods.

Abstract

The study described in this paper is a part of user requirement study of the MESSAGE (Mobile Environment Sensor Systems Across a Grid Environment) project. The MESSAGE project is aimed at developing low-cost and ubiquitous sensors to collect real-time, large scale and com...Lead moreThe study described in this paper is a part of user requirement study of the MESSAGE (Mobile Environment Sensor Systems Across a Grid Environment) project. The MESSAGE project is aimed at developing low-cost and ubiquitous sensors to collect real-time, large scale and comprehensive environmental data. As part of these objectives it is essential to understand the views, needs and requirements of local authorities on environmental data for network management and traveller information provision. This paper provides a substantial evidence for further development of sensors and data processing tools within the MESSAGE project.

Abstract

The navigation-aids play an important role in the system which ensure the safety of marine navigation. The research, based on the technology of GIS, GPS and internet, computer, modern communications, is aimed to build up integrated navigation-aids information system which...Lead moreThe navigation-aids play an important role in the system which ensure the safety of marine navigation. The research, based on the technology of GIS, GPS and internet, computer, modern communications, is aimed to build up integrated navigation-aids information system which combines the navigation-aids sub-system of GIS platform, remote control and information distribution together and is expected to enhance the ability of marine safety assurance , improve aids to navigation information system as well as create better environment for the safety of marine traffic and the development of navigation industry. The research is to construct the electronic chart database and GIS platform conforming with the IHO concerned standard, to applies GPS to control over the navigation-aids position and working condition and realize remote control by using GSM/AIS communication technology, issue the navigation-aids information by Internet or AIS on-time.

Abstract

The safety impact of an Intelligent Transportation System cannot be assessed by a direct matching of the numbers of accidents between the periods before and after the installation of the system, but requires a prior identification of exposure to different contributory fac...Lead moreThe safety impact of an Intelligent Transportation System cannot be assessed by a direct matching of the numbers of accidents between the periods before and after the installation of the system, but requires a prior identification of exposure to different contributory factors including traffic condition, and of related risks. The safety impact of concomitant changes in the drivers’ behaviour and changes in the traffic demand is assessed by matching accidents between equipped and not equipped road sections for the same period. Microscopic traffic indicators (based on individual speeds and headway) and aggregated traffic indicators (based on average speed and density by lane) are used to form a safety model, calibrated with the accidents of French motorways.

Abstract

In a driving simulator study, driver responses to Steer-By-Wire system failures were investigated. Duration and amplitude of the error were varied, as well as the type of error (with/without torque feedback) and the driver’s expectancy of error occurrence. Results are ana...Lead moreIn a driving simulator study, driver responses to Steer-By-Wire system failures were investigated. Duration and amplitude of the error were varied, as well as the type of error (with/without torque feedback) and the driver’s expectancy of error occurrence. Results are analysed in terms of driver input (steering wheel angle), overall driver-vehicle output (lateral path deviation), and subjective ratings. Drivers seem to base their judgement of error severity on the steering input rather than on the resulting path deviation. Errors with a counterintuitive torque feedback are rated as worse than errors without torque feedback, even though the overall outcome is better.

Abstract

This paper presents a method to integrate the Dynamic Late Merge with a merge metering at the downstream taper area of a work zone, termed as Dynamic Merge Metering Traffic Control System for work zones (DMM-Tracs). The architecture and communication system for the DMM-Tr...Lead moreThis paper presents a method to integrate the Dynamic Late Merge with a merge metering at the downstream taper area of a work zone, termed as Dynamic Merge Metering Traffic Control System for work zones (DMM-Tracs). The architecture and communication system for the DMM-Tracs, including system components, communication technologies and operation mechanism, are introduced. With this system, the merge metering control will be activated depending on the volume and/or speed detected at an upstream location of the work zone. If the thresholds of control parameters are met, a merge metering signal installed at the taper area will be activated and approaching vehicles will be instructed in the advance areas of the work zone. To reduce forced merges and potentials of merge conflicts, the control scheme will adjusted on the real-time basis depending on the detected traffic conditions. The delay penalty is distributed equally in all lanes. This potentially increases the efficiency with which the

Abstract

In traffic sign recognition task, how to extract the informative features which well represent the real class distribution is an important step for successive classification. The commonly used strategy is normalized cross correlation coupled with nearest neighbor classifi...Lead moreIn traffic sign recognition task, how to extract the informative features which well represent the real class distribution is an important step for successive classification. The commonly used strategy is normalized cross correlation coupled with nearest neighbor classifier. However, it is sensitive to noise and suffers from high computation load. To overcome the mentioned drawbacks, we present newly proposed Uncorrelated Fisher Discriminant analysis (UFDA) [15] and Image matrix based Discriminant analysis (IFDA) [16] to classify traffic signs images, which can extract the important discriminate features between different classes. We conclude with extensive empirical evaluations, showing its advantage in high classification ratio and also short computation time.

Abstract

The growing recurrent traffic congestion problem on urban arterials has long been identified by transportation professionals. Especially, the traffic flow on the arterials with many access points experience delay from the interrupting traffic flow. Most of the ATMS strate...Lead moreThe growing recurrent traffic congestion problem on urban arterials has long been identified by transportation professionals. Especially, the traffic flow on the arterials with many access points experience delay from the interrupting traffic flow. Most of the ATMS strategies to deal this problem are being applied independently. Integration of adaptive signal control with access meters through ATMS strategies can relieve the congestion. This paper develops an Integrated Arterial Signal and Access Control (IASAC) strategy. During the process a heuristic algorithm has been proposed to decrease the computational time. The heuristic algorithm integrates SCOOT algorithm, and BOTTLENECK access metering algorithm for selected time horizon. Development of control objective function for solution of algorithm is explained in detail. Finally, a simulation-based test bed has been designed for evaluating the IASAC Algorithm. Using Paramics software, a case study of two scenarios with and without IA

Abstract

With the booming of urbanization and motorization, Beijing’s road network has been formed, and transportation system is becoming more unreliable due to the more furious conflict of supply and demand. On the other hand, transportation network reliability evaluation is deve...Lead moreWith the booming of urbanization and motorization, Beijing’s road network has been formed, and transportation system is becoming more unreliable due to the more furious conflict of supply and demand. On the other hand, transportation network reliability evaluation is developing in the world as a new technology which is used to evaluate the transportation network, especially stability. As a development city, TAXI is one major and universal mode of travel in Beijing. The smart card which is installed in taxi can record the travel time and distance per trip by taxi. With the smart card data, the rate time per trio can be calculated. And the regulation of travel rate time by taxi can be fond from the cumulative taxi datum. In this paper, three new reliability indices and methodologies about travel rate time are provided; and Beijing transportation network is analyzed with using these indices and the taxi trip datum.

Abstract

This paper presents research of developing a new behavioral car-following model that is pertinent to the true nature of “less-than-perfect” human driving. Unlike traditional car-following models that deliberately prohibit vehicle collisions, the proposed model considers t...Lead moreThis paper presents research of developing a new behavioral car-following model that is pertinent to the true nature of “less-than-perfect” human driving. Unlike traditional car-following models that deliberately prohibit vehicle collisions, the proposed model considers the weakness and risks associated with everyday driving and strives to capture both safe as well as unsafe driving behaviors. Vehicle trajectories extracted from real-life crashes were employed to test the model’s capability of replicating freeway rear-end collisions. Additionally, RTKGPS crash-free trajectory data were used to validate the model against normal driving behavior. Testing results indicate that the proposed model can emulate both normal as well as unsafe driving behaviors that could lead to vehicle collisions. Finally, feasibility of integrating the proposed model with existing micro-simulators is discussed.

Abstract

The output of logistics is performed by the appropriate and proportional use of material and information flows. Important issue is to determine the proper equilibrium between the resources devoted to the two main system elements. The necessity of continuous improvement of...Lead moreThe output of logistics is performed by the appropriate and proportional use of material and information flows. Important issue is to determine the proper equilibrium between the resources devoted to the two main system elements. The necessity of continuous improvement of informatics and logistic flows is not questionable since the efficiency of logistics control systems can be increased by reducing the time gap between the time of gaining the data and use of information for planning purpose. In different logistics subsystems the role and importance of time gaps differ. Having generally overviewed the subsystems the papers introduce the efficiency of informatics based on Cobb-Douglas production function in order to spot the elements of logistics where the reduction of time gap is of economic interest, that is under what conditions can the IT developments and investment be efficient.