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Abstract

As a complex system with various traffic operational facilities, the overall performance of urban transportation network is difficult to assess. This paper suggests a methodology of the macroscopic evaluation on urban traffic condition by combining two-fluid model and the...Lead moreAs a complex system with various traffic operational facilities, the overall performance of urban transportation network is difficult to assess. This paper suggests a methodology of the macroscopic evaluation on urban traffic condition by combining two-fluid model and the probe car data. Map-matching based on GIS is applied to calculate total travel time, running and stop time per unit distance, which resolves the problems in data collection for estimation of model parameters. The established model considers a network to be assessed as a whole system and provides a reliable and feasible way to evaluate macroscopic characteristic of urban street network.

Abstract

Human factor is one of the most important issues in the design of vehicular active safety systems. In order to investigate the driver behavior, an instrumented vehicle test bed was implemented to measure the information on driver actions and vehicle states. A special data...Lead moreHuman factor is one of the most important issues in the design of vehicular active safety systems. In order to investigate the driver behavior, an instrumented vehicle test bed was implemented to measure the information on driver actions and vehicle states. A special data processing program was also developed to review, extract and analyze the captured data. Based on the test bed, driver behavior experiments involving 33 testing driver subjects were conducted in urban traffic environment. Furthermore, analysis methodology of driver behavior was established and some analysis results of the experimental data were obtained.

Abstract

This paper aims to develop the strategy of the distribution of detector layout on alternate route. Based on the assumption of incomplete detector installation, we apply factorial design analysis combined with path travel time estimation algorithm to test the density layou...Lead moreThis paper aims to develop the strategy of the distribution of detector layout on alternate route. Based on the assumption of incomplete detector installation, we apply factorial design analysis combined with path travel time estimation algorithm to test the density layout of vehicle detector installation under different levels of saturation flow and with/without the incident and data fusion. Finally, the stategies of density layout are presented for different scenarios with errors below certain threshold.

Abstract

Highways passing through snowy regions often encounter heavy snowdrift due to crosswinds. Properly installed snowfences can help protecting those exposed road sections. For large sections, the assessment of fences using numerical 3D simulation tools with implemented entra...Lead moreHighways passing through snowy regions often encounter heavy snowdrift due to crosswinds. Properly installed snowfences can help protecting those exposed road sections. For large sections, the assessment of fences using numerical 3D simulation tools with implemented entrainment and accretion mechanisms for particles is often too time-consuming. By varying snowfence height and wind speed, numerical simulations of 400 simplified 3D scenarios have been performed in this study. Discrete values of accretion, entrainment and net deposition are collected to develop the database. Thus, time depending snow mass distributions in the vicinity of the fence can be estimated immediately by database queries and interpolation.

Abstract

Dynamic weather conditions, such as rain and snow, produce much more complex visual effects than the mist and fog weather. The rain drops near or adhered to the camera lens degrade the images greatly. In this paper, we simplify this problem by assuming that the rain drop ...Lead moreDynamic weather conditions, such as rain and snow, produce much more complex visual effects than the mist and fog weather. The rain drops near or adhered to the camera lens degrade the images greatly. In this paper, we simplify this problem by assuming that the rain drop is immobile and holds a proper size. After analyzing the photometric properties of a single rain drop, we develop a two-storied model to approximate the effects of the rain drop. Experiment results show that this model is effective and we can restore the degraded image through the inverse process of the model.

Abstract

Implementing of an effective bus signal priority control system is an efficient way to make bus service more attractive. Because of complex and huge bus network and mixed traffic flow, all of traffic control systems introduced from foreign countries don’t implement transi...Lead moreImplementing of an effective bus signal priority control system is an efficient way to make bus service more attractive. Because of complex and huge bus network and mixed traffic flow, all of traffic control systems introduced from foreign countries don’t implement transit signal priority in China. An advanced bus priority control system (TDTSP) is proposed according to Chinese traffic conditions. Two kinds of strategies are integrated in the proposed system: online strategies and offline strategies. Grouped intersection is adopted as control object. The kernel models and its application to a real network are introduced.

Abstract

The integrity of navigation systems has attracted attention of not only safety critical applications(e.g. aviation) but also increasingly liability critical and other value added applications. This paper autonomous integrity algorithms for road transport. The results of a...Lead moreThe integrity of navigation systems has attracted attention of not only safety critical applications(e.g. aviation) but also increasingly liability critical and other value added applications. This paper autonomous integrity algorithms for road transport. The results of a trial carried out near London show that the proposed algorithms can effectively detect potential failures and generate appropriate protection levels taking into account the availability requirement. The proposed algorithms should be used to improve the quality and safety of location based services.

Abstract

Various approaches have been developed to estimate the adequate number of Probe vehicles. Standard deviation formulation and confidence interval method are the commonly accepted estimation methods at link level. In this paper, the applicability of these methods for a sign...Lead moreVarious approaches have been developed to estimate the adequate number of Probe vehicles. Standard deviation formulation and confidence interval method are the commonly accepted estimation methods at link level. In this paper, the applicability of these methods for a signalized link is examined. Travel time on a signalized link is a multi-peak distribution because there are several subgroups each of which has different travel time property. The result shows that standard deviation formulation is sensitive with sampling error and cannot provide consistent result, and confidence interval method is needed to add additional criterion to provide correct judgment.

Abstract

This paper suggests dynamic origin-destination matrices estimation approach to construct the link flow dynamic relationships, and applies adaptive Kalman filter process to adjust the error. Finally, evaluations of several real cases are provided to illustrate the performa...Lead moreThis paper suggests dynamic origin-destination matrices estimation approach to construct the link flow dynamic relationships, and applies adaptive Kalman filter process to adjust the error. Finally, evaluations of several real cases are provided to illustrate the performance of the suggested approach.

Abstract

Incident duration is an important index to estimate incident severity. In order to estimate accurately incident duration, the significant factors affecting incident duration must be determined. In this study, four-year incident data obtained from one freeway management ce...Lead moreIncident duration is an important index to estimate incident severity. In order to estimate accurately incident duration, the significant factors affecting incident duration must be determined. In this study, four-year incident data obtained from one freeway management center in Guangzhou is used to analyze the significant factors affecting incident duration. The analysis result indicates that there are 15 significant factors affecting incident duration in 20 factors considered. The conclusion is based on the case study of one freeway, so its accuracy and applicability to another freeway needs a further study.

Abstract

Previous optimization methods are designed for determinable quantum, which can hardly used in optimizing the parameters in traffic state detection algorithm, since traffic state is a fuzzy variable based on the sense, and it is difficult to determine a benchmark for optim...Lead morePrevious optimization methods are designed for determinable quantum, which can hardly used in optimizing the parameters in traffic state detection algorithm, since traffic state is a fuzzy variable based on the sense, and it is difficult to determine a benchmark for optimization. This paper puts forward a driver-based evaluation approach which can solve the fuzziness in determination of traffic state. Based on the evaluation, an optimization model is presented, and the time window and three commonly used thresholds are analyzed in a detailed example. Also this optimization approach can be used on the detection algorithm for other vague variables.

Abstract

based on the deep analysis of the fundamentals of vector field model, fuzzy inference model and car-following model, the changing processes of the following speed, following acceleration and time headway are simulated by these three models with Matlab programs under the s...Lead morebased on the deep analysis of the fundamentals of vector field model, fuzzy inference model and car-following model, the changing processes of the following speed, following acceleration and time headway are simulated by these three models with Matlab programs under the same initial conditions. The validities of different models are compared for various running conditions such as starting, stopping, car-following and the imbalance between acceleration and deceleration. Meanwhile, their advantages, disadvantages and application conditions of these models are analyzed and evaluated in details. That will be helpful for the model application and selection.

Abstract

At present, the characteristics of mixed traffic have not been well realized. We proposed a longitudinal moving model and study the characteristics of mixed traffic on single-lane composed of fast and slow vehicles with numerical simulation. The results show that if the m...Lead moreAt present, the characteristics of mixed traffic have not been well realized. We proposed a longitudinal moving model and study the characteristics of mixed traffic on single-lane composed of fast and slow vehicles with numerical simulation. The results show that if the maximum-velocity of slow vehicles is smaller than the critical velocity of the fast vehicles traffic, the fundamental diagrams are different when the traffic composition varies. We identified that there are four different kinds of spatio-temporal patterns in mixed traffic. The conclusion is that the difference in maximum-velocity of vehicles is significant to traffic flow.

Abstract

The GPS/GIS based Floating Car Data (FCD) collection technology provides new solution for the urban traffic management. This paper reviewed and summarized the researches and the applications of the FCD in the field of traveler information service and road network evaluati...Lead moreThe GPS/GIS based Floating Car Data (FCD) collection technology provides new solution for the urban traffic management. This paper reviewed and summarized the researches and the applications of the FCD in the field of traveler information service and road network evaluation, and proposed the Three Stage Applications of FCD. The article elaborated the third stage application which aims at the urban macroscopic traffic character analysis, and the analysis flow chart based on historical traffic condition data was proposed. Then, as a case study, the data collected from Beijing was used in the study and analysis. Finally, the paper presents the analysis results of the space and time distribution characteristic of travel speed of road segments as well as the mileage usage proportion of different class road.

Abstract

In this paper we look at the air transportation system from a resource management perspective. In particular, we introduce the concept airport logistics, with the general focus of efficiently managing all the logistic activities and processes at, or nearby, an airport. On...Lead moreIn this paper we look at the air transportation system from a resource management perspective. In particular, we introduce the concept airport logistics, with the general focus of efficiently managing all the logistic activities and processes at, or nearby, an airport. One important goal is to utilize and process the available information for intelligent resource management. Some previous research in the air transportation system area is reviewed and classified into three categories; airline operations, airport operations and air traffic management. A conceptual framework of a decision support system is presented and motivated with a clear emphasis on the airport system.

Abstract

Traffic data are the important foundation of Intelligent Transport Systems. Fixed detectors such as loop detectors, microwave detectors, etc., can not satisfy the demand of Intelligent Transportation Systems, because of high cost and low coverage area. Along with widely u...Lead moreTraffic data are the important foundation of Intelligent Transport Systems. Fixed detectors such as loop detectors, microwave detectors, etc., can not satisfy the demand of Intelligent Transportation Systems, because of high cost and low coverage area. Along with widely used of GPS, GIS and wireless communication technology, floating-car system has became a new way to collect real-time traffic data. This paper describes the composing of floating-car system at first, then presents a two-step model for floating-car samples sizes, which overcoming disadvantages of existing researches. Finally, the application of floating-car system in Shanghai is introduced.

Abstract

A driving simulator study was conducted with the goal to find the human machine interface with the highest potential to increase traffic safety. Warnings for low friction were given several seconds in advance of the occurrence of low friction conditions. A display that ad...Lead moreA driving simulator study was conducted with the goal to find the human machine interface with the highest potential to increase traffic safety. Warnings for low friction were given several seconds in advance of the occurrence of low friction conditions. A display that advised drivers about a recommended maximum speed on low friction conditions led to higher speed reductions than displayed stopping distance or a low friction warning symbol. Generally women displayed more careful behaviour than men did (less speeding, less curve cutting, longer overall travel time).

Abstract

This paper presents an application of neural-fuzzy methodology for the problem of route selection in a typical vehicle navigation system. A neural-fuzzy system is developed to help a user to select a route out of the many possible routes from an origin to the destination....Lead moreThis paper presents an application of neural-fuzzy methodology for the problem of route selection in a typical vehicle navigation system. A neural-fuzzy system is developed to help a user to select a route out of the many possible routes from an origin to the destination. The user may not adopt the recommendation provided by the system and choose an alternate route. One novel feature of the system is that the neural-fuzzy system can adapt itself by changing the weights of the defined fuzzy rules through a training procedure. Two examples are given in this paper to illustrate how the route selection/ranking system can be made adaptive to the past choice or preference of the user.

Abstract

This paper presents an application layer protocol for the real-time traffic data acquisition, aggregation, dissemination and query in Vehicular Ad-hoc Network (VANET) for Intelligent Transportation System (ITS). In TDXP, real-time traffic data are generated by a group of ...Lead moreThis paper presents an application layer protocol for the real-time traffic data acquisition, aggregation, dissemination and query in Vehicular Ad-hoc Network (VANET) for Intelligent Transportation System (ITS). In TDXP, real-time traffic data are generated by a group of relevant vehicles and organized by the leader of this group. We defined two groups, RS group and Platoon, to handle the pull-mode and push-mode communication. The Ask-Wait-Ask (AWA) communication mechanism that we designed makes TDXP a stateless communication protocol for the both sides involved into the data exchange process.

Abstract

Recent developments in transportation engineering research enable the real-time simulation systems to provide functionalities for traffic monitoring and to some extent for traffic prediction. However, integrating a traffic simulator into an ITS application is a difficult ...Lead moreRecent developments in transportation engineering research enable the real-time simulation systems to provide functionalities for traffic monitoring and to some extent for traffic prediction. However, integrating a traffic simulator into an ITS application is a difficult task, because it is not straightforward to take the data stream from the simulator directly into the ITS applications for traffic analysis. In this research we present a new visualization framework to manipulate the data stream from a real-time traffic simulation system and we provides an overview of how the 2D/3D visualizations and the online microscopic simulation system can be integrated together into an application framework to build web-based applications. Some prototype application are presented, as well.

Abstract

Travellers can benefit from the availability of reliable point-to-point driving time estimates on a real time basis for making travel decisions such as route choice at strategic locations (e.g., junctions of major routes). This paper reports an advanced traveller informat...Lead moreTravellers can benefit from the availability of reliable point-to-point driving time estimates on a real time basis for making travel decisions such as route choice at strategic locations (e.g., junctions of major routes). This paper reports an advanced traveller information system (ATIS) that uses intelligent transportation system (ITS) technologies and features a predictive travel time methodology based on Bayesian statistical analysis technique. Following an introduction to the subject of this paper, technical components of ATIS are described that include data collection, data processing and fusion, making predictions and updating information, and ultimately delivering information to users. An example application of the ATIS demonstrates the fusion of real-time data with model-based predictions in order to produce expected travel times.

Abstract

The urban traffic system is complex, random, dynamic and fuzzy. As to the existing traffic model system, there are many factors like subject, behavior and so on that are not considered. Therefore, there are many limitations of the findings. The experiment traffic engineer...Lead moreThe urban traffic system is complex, random, dynamic and fuzzy. As to the existing traffic model system, there are many factors like subject, behavior and so on that are not considered. Therefore, there are many limitations of the findings. The experiment traffic engineering theory could provide the effective method to this kind of complex problem. This paper puts forward the frame system of experiment traffic engineering theory, as well as the research methods, which is hoped that it is an illumination for the future research.

Abstract

Bus Arrival Time Prediction (BATP) is one component of ITS and travel time information is also a major aspect of Bus Information Service System. In order to predict travel time, in an accurate and timely manner, the consideration of traffic state is essential, including t...Lead moreBus Arrival Time Prediction (BATP) is one component of ITS and travel time information is also a major aspect of Bus Information Service System. In order to predict travel time, in an accurate and timely manner, the consideration of traffic state is essential, including traffic congestion, bus dwell time at stops, intersection signal time, weather and incidents information etc. In this paper, previous research has been looked up to and a BATP model has been developed to predict the bus arrival time with data from 910-line buses in Shanghai. A BAT code has been created to consider multi-source traffic information for predicting bus arrival time. At last the prediction results have been proved good enough to applying. So the BATP model in this paper will has practical meanings for project.

Abstract

How to optimize the parking guidance message signs display is one of key influence factors of parking guiding effects. Through analyzing the parking choice behavior model under parking guiding information, this paper discusses the display methods of parking guidance messa...Lead moreHow to optimize the parking guidance message signs display is one of key influence factors of parking guiding effects. Through analyzing the parking choice behavior model under parking guiding information, this paper discusses the display methods of parking guidance message signs. To avoid the bad applicability of single-objective function model, based on a number of assumptions, dual-objective functions model is formulates to minimize vehicle queue length and arrival time. Through numerical example calculation, the paper compares the optimal results between single-objective function model and dual-objective functions model, which proves that the latter model takes on better applicability and feasibility, and it can optimize the parking guidance message signs display more accurately.

Abstract

The applications and characteristics of multipurpose transit smart card systems were analyzed, and it shows that potential applications need to be well planned and organized because of limited resources. The feasibility of each application is indicated by application attr...Lead moreThe applications and characteristics of multipurpose transit smart card systems were analyzed, and it shows that potential applications need to be well planned and organized because of limited resources. The feasibility of each application is indicated by application attractiveness and systems competitive advantage, and application could be planned by GE matrix model. And weights used in that model are determined by amendatory statistic and iteration method. Application status varying with time, BCG matrix could be used to allocate resource and adjust strategy to applications. This planning method provides a general way for programming applications of multipurpose transit smart card systems.

Abstract

Real-time travel times are an important parameter for the description of actual traffic flows in road networks. They are, however, not readily available because most existing data acquisition systems typically depend on detector stations delivering data which is only accu...Lead moreReal-time travel times are an important parameter for the description of actual traffic flows in road networks. They are, however, not readily available because most existing data acquisition systems typically depend on detector stations delivering data which is only accurate for the specific location. Various methods are available for drawing conclusions about traffic conditions between two detector locations. Depending on their physical principle, sensors provide more information on an individual vehicle than is generally used. Research projects and some applications use this information to re-identify vehicles or groups of vehicles in order to measure their travel times. So far, the inductive loop detector has been the main source of this information, but other, non-intrusive detector principles are gaining importance. In this paper, the general approach of using pattern recognition and correlation methods is described before the presentation of some experimental results.

Abstract

The paper is about integrating feeder buses into a proposed Bus Rapid Transit (BRT) system in East London. The work will predict the demand and acceptability of such feeder bus networks that complement the trunk system. The research aims at analyzing the existing innovati...Lead moreThe paper is about integrating feeder buses into a proposed Bus Rapid Transit (BRT) system in East London. The work will predict the demand and acceptability of such feeder bus networks that complement the trunk system. The research aims at analyzing the existing innovations in microbus networks to develop a concept suitable for the London context. The concept will be presented and tested on the proposed East London corridor using the EMME 2 model. Finally, this would be followed by presenting results from the model runs, to assess the benefits of the system.

Abstract

Path planning algorithms are an important prerequisite to future driver assistance systems. In this paper, an approach for path planning on highways is presented. The method uses adaptive polar splines in combination with a dynamic graph search algorithm in order to const...Lead morePath planning algorithms are an important prerequisite to future driver assistance systems. In this paper, an approach for path planning on highways is presented. The method uses adaptive polar splines in combination with a dynamic graph search algorithm in order to construct curvature-continuous, collision-free paths that can be used without further modifications by vehicles with differential constraints. Simulations show that the method is able to determine reasonable paths on highway scenarios in a short amount of time. Furthermore, the approach allows online reactions on environmental changes, e. g. suddenly appearing obstacles.

Abstract

Through analyzing the connection between traffic travel guidance system and control system to combained them together, the deign idea of Graduation district travel guidance system framework was proposed and its logic framework diagram based on urban traffic travel guidanc...Lead moreThrough analyzing the connection between traffic travel guidance system and control system to combained them together, the deign idea of Graduation district travel guidance system framework was proposed and its logic framework diagram based on urban traffic travel guidance system was given in this paper. Graduation district travel guidance system not only made all kinds of roads in full use by embodying the pertinence to all kinds of roads, in this way ,the traffic flow came to reasonable assignment, but also embodied the advantage of area district guidance, and the reliability and lively reaction ability of traffic guidance system got improved

Abstract

Shenzhen Urban Transport Simulation System (SUTSS) is one of important components and start-up engineering of ITS in Shenzhen which has completed the construction of one network and four platforms and will integrate dispersed transportation information resource to maximum...Lead moreShenzhen Urban Transport Simulation System (SUTSS) is one of important components and start-up engineering of ITS in Shenzhen which has completed the construction of one network and four platforms and will integrate dispersed transportation information resource to maximum degree, integrate the subsystems of intelligent transportation and realize data sharing among concerning departments. At the same time, SUTSS provides comprehensive transportation information service for travelers and provide decision support for the government.

Abstract

Neural Network ensembles can improve remarkably the generalization capabilities and outperform single networks through training several neural networks and then combining their outputs. On the base of ensemble techniques, namely Boosting and Bagging, one method of neural ...Lead moreNeural Network ensembles can improve remarkably the generalization capabilities and outperform single networks through training several neural networks and then combining their outputs. On the base of ensemble techniques, namely Boosting and Bagging, one method of neural network ensembles based on the strategy of divide and conquer was proposed, and a simple weighting scheme for ensemble members according to their prediction accuracy of individual networks is also discussed. These three neural network ensembles are employed to forecast traffic volume of an intersection in Suzhou city with favorable results. The experiments show that neural network ensemble overmatches the performance of single neural network, and traffic volume forecasting based on neural network ensembles is valid and feasible.

Abstract

Many scholars at home and abroad have presented various congestion countermeasures aimed at the phenomenon of urban traffic congestion. The congestion countermeasures are generally classified into three types of the increasing supplements, improving management and inducti...Lead moreMany scholars at home and abroad have presented various congestion countermeasures aimed at the phenomenon of urban traffic congestion. The congestion countermeasures are generally classified into three types of the increasing supplements, improving management and inducting requirements. The congestion countermeasures and effectiveness in the crossing and road network are analyzed. According to the characteristics of urban traffic in China, that is mixed traffic flow, and based on the principles of space separate and time separate of mixed traffic, the method of combining the space separate of mixed traffic flow with moving forward the parking line in the intersection is proposed to ameliorate the urban traffic congestion. The traffic software integrated system(TSIS) is adopted to simulate the effects of the congestion countermeasures. The research results show that the proposed method is effective on the intersections of large mixed traffic flow and excessive turn-right vehicles.

Abstract

Nowadays, semantic integration of information systems is becoming a hot topic. As there is a growing apprehension of extensible markup language (XML) as a means for data exchange in intelligent transportation system (ITS), this paper focuses on the ontology-based semantic...Lead moreNowadays, semantic integration of information systems is becoming a hot topic. As there is a growing apprehension of extensible markup language (XML) as a means for data exchange in intelligent transportation system (ITS), this paper focuses on the ontology-based semantic integration of ITS using XML technology. Firstly, we discuss semantic heterogeneities in XML documents of traffic dada and describe how ontologies can be used to overcome related problems. Then we propose the architecture for semantic integration of ITS, including three main layers: distributed heterogeneous data source layer, information integration layer and application system layer. We discuss the approach to semantic integration of XML documents, which is applied in the architecture. At the end we conclude that ontology is a good tool to integrate traffic information at semantic level.

Abstract

This paper reports a mixed traffic flow study which established a vehicle departure model under mixed traffic condition, the researching area focuses on the urban signalized intersection which can observe conflictions among motors, non-motors and pedestrians frequently. M...Lead moreThis paper reports a mixed traffic flow study which established a vehicle departure model under mixed traffic condition, the researching area focuses on the urban signalized intersection which can observe conflictions among motors, non-motors and pedestrians frequently. Most researchers pay more attention to planning method or control strategy, and establish some macrocosmic models, but no deeper researches about disturbance are found. In this paper we seek to compare the departure vehicle stream's headways with and without mixed traffic condition using software to extract time of headways from video automatically, and analyze the vehicles traffic characteristics of departure model.

Abstract

One emerging, new type of ad-hoc network is the Vehicular Ad-Hoc Network (VANET), in which vehicles constitute the mobile nodes in the network. Due to the prohibitive cost of deploying and implementing such a system in real world, most research in VANET relies on simulati...Lead moreOne emerging, new type of ad-hoc network is the Vehicular Ad-Hoc Network (VANET), in which vehicles constitute the mobile nodes in the network. Due to the prohibitive cost of deploying and implementing such a system in real world, most research in VANET relies on simulations for evaluation. A key component for VANET simulations is a realistic radio propagation model that ensures conclusions drawn from simulation experiments will carry through to real deployments. Several prior work have shown the idealize perfect-within-range models commonly used in network simulation tool can be misleading. In this work, we set out to study the effect of radio models on the simulations of vehicle communication. We first conduct measurements of signal strength between moving vehicles. The data obtained from the experiment are then used to develop an empirical radio propagation model. Finally, we evaluate the effect of our trace-driven model on several routing protocols in the popular network simulat

Abstract

Transportation agencies around the country have implemented a variety of measures to mitigate freeway traffic congestion and improve safety, including ramp metering. Historically, most ramp meters were predominantly placed on high volume corridors in large cities and usua...Lead moreTransportation agencies around the country have implemented a variety of measures to mitigate freeway traffic congestion and improve safety, including ramp metering. Historically, most ramp meters were predominantly placed on high volume corridors in large cities and usually at consecutive freeway entrance points to maximize the benefits of ramp metering. As such, many evaluation efforts focused on the benefits of large systems. The potential benefits from a small number of ramp meter installations for urban freeways in mid or small size cities is seldom studied and examined. The study focuses on assessing ramp metering safety benefits by the limited number of ramps, a total of five metered on-ramps along the Highway 12/18 in the City of Madison, Wisconsin. The evaluation results present noticeable safety impacts brought by the ramp metering. A na飗e before-and-after analysis using crash data at the metered on-ramps demonstrates fewer crashes and lower crash rates during the peak

Abstract

Vehicle collisions at intersections account for a large percentage of overall traffic accidents, a good portion of which are fatal. A large number of these accidents can be avoided by a warning system which makes a driver aware of potential collisions on the road, thus al...Lead moreVehicle collisions at intersections account for a large percentage of overall traffic accidents, a good portion of which are fatal. A large number of these accidents can be avoided by a warning system which makes a driver aware of potential collisions on the road, thus allowing the driver enough time to prevent such situations. This paper presents the design of a prototype intersection collision avoidance system based on Vehicle Infrastructure Integration (VII). Underlying the system are wireless communications, positioning technology, and information technology that ensure accurate and timely safety information.

Abstract

The essay discusses the necessity for setting up an intelligent traffic management system from the perspective of the current road traffic development and future demand in Beijing. It briefs the structure of Beijing intelligent traffic management system which involves eig...Lead moreThe essay discusses the necessity for setting up an intelligent traffic management system from the perspective of the current road traffic development and future demand in Beijing. It briefs the structure of Beijing intelligent traffic management system which involves eight systems, like traffic signal system. The author makes a conclusion on its effect and benefits and proposes that intelligent traffic management system is a necessary solution to road traffic congestion.

Abstract

The LBS which exploits the geographic location of the mobile terminal is one crucial and rapidly advancing technology for emergency rescue applications. In this paper we present the design and approach of the LBS for Emergency Rescue (LBSaFER) platform based on the publis...Lead moreThe LBS which exploits the geographic location of the mobile terminal is one crucial and rapidly advancing technology for emergency rescue applications. In this paper we present the design and approach of the LBS for Emergency Rescue (LBSaFER) platform based on the publish/subscribe message-oriented component object model. Our specific interest is put on the associated response, context-awareness and quality of service in the emergency rescue circumstance. One actual system for the Beijing Capital International Airport is also developed according to our design ideas and the performances are discussed. LBS characterized in this paper is expected to play a more essential role in the future wide distributed deployment of the emergency rescue applications.

Abstract

Transit Signal Priority (TSP) can enhance transport system efficiency by reducing delay to high capacity vehicles. TSP design requires careful consideration of the circumstances for detection of transit vehicles and the process of estimating their progression through sign...Lead moreTransit Signal Priority (TSP) can enhance transport system efficiency by reducing delay to high capacity vehicles. TSP design requires careful consideration of the circumstances for detection of transit vehicles and the process of estimating their progression through signals. This paper examines factors generating errors in TSP provision through a modeling approach using dynamic micro-simulation. Errors in calling TSP are examined and factors generating errors explored. Two factors are identified; ‘time unavailable for priority’ and ‘queue detector interference’. Measures to address error are discussed.