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Abstract

Whilst the word “enforcement” can sound negative, frustrating and restrictive, at its core there are four timeless goals: improved safety, increased efficiency, reduced emissions and behavioural change. Attention will be drawn to civil (moving traffic) enforcement solutio...Lead moreWhilst the word “enforcement” can sound negative, frustrating and restrictive, at its core there are four timeless goals: improved safety, increased efficiency, reduced emissions and behavioural change. Attention will be drawn to civil (moving traffic) enforcement solutions applied in the UK to bus lanes, yellow box junctions and areas imposing banned turns (i.e. illegal u-turns, right hand turns, etc.) The audience will learn more about the real benefits of civil enforcement solutions and how they address these four timeless goals in smart cities.

Abstract

In this paper we explore potential adoption of hands-free access to public transport networks (rather than “get your ticket out from your pocket and tap to pay”) as a way to increase accessibility of public transport to disabled individuals but also to enhance high qualit...Lead moreIn this paper we explore potential adoption of hands-free access to public transport networks (rather than “get your ticket out from your pocket and tap to pay”) as a way to increase accessibility of public transport to disabled individuals but also to enhance high quality travel experience for all users of public transport networks by increasing throughput speed and convenience.

Abstract

In this paper we explore three topics: 1. history of ITS technologies particularly as related to automatic vehicle identification for road tolling, 2. latest technological advancement and its implications for privacy as one key concern in hyper-connected world, and 3. bey...Lead moreIn this paper we explore three topics: 1. history of ITS technologies particularly as related to automatic vehicle identification for road tolling, 2. latest technological advancement and its implications for privacy as one key concern in hyper-connected world, and 3. beyond smart traffic into consumer convenience and customer loyalty services enabled by ITS infrastructure.

Abstract

Growing amount of traffic combined with extreme weather changes lead to growing safety risks for passengers - both in air or road traffic. Lufft developed a new mobile road weather sensor closing many gaps on the weather map and helping winter services and road maintenanc...Lead moreGrowing amount of traffic combined with extreme weather changes lead to growing safety risks for passengers - both in air or road traffic. Lufft developed a new mobile road weather sensor closing many gaps on the weather map and helping winter services and road maintenance workers to make the right decisions and to avoid slippery road surfaces. The sensor is mounted on a vehicle and scans the road surfaces. It detects different road conditions (dry, moist, wet, ice, snow, slush, chemical wet), recognizes water film layers, the ice percentage in water layers, road surface temperatures, relative humidity, dew points and determines the weather-related friction on the road. In order to introduce the MARWIS to winter services and roadmenders and show them the sensor in action, Lufft has started a big road show throughout Germany in fall 2015. It will continue until March 2016. In the related paper, the sensor and the course of the tour is explained in detail.

Abstract

IBI Group has been working with Highways England to develop and implement mobile mapping applications for asset management and engineering design purposes. The results are significantly improved safety, cost savings amounting to millions of pounds and far greater data acc...Lead moreIBI Group has been working with Highways England to develop and implement mobile mapping applications for asset management and engineering design purposes. The results are significantly improved safety, cost savings amounting to millions of pounds and far greater data accuracy. These have enabled Highways England to significantly improve its asset governance. Further cooperative work is now going on to develop smart device apps which will enable Highways England’s Traffic Officers and other staff to report a range of network observations remotely and in real time, with commensurate, additional benefits for safety and improved network operation.

Abstract

Precise global positioning knowledge relative to the environment of the ego-vehicle and other traffic participants at 25cm level is key requirement to improve ADAS Applications and allow HAD. The HD-Map is applicable from low level perception to highest level of automatio...Lead morePrecise global positioning knowledge relative to the environment of the ego-vehicle and other traffic participants at 25cm level is key requirement to improve ADAS Applications and allow HAD. The HD-Map is applicable from low level perception to highest level of automation. This paper classifies the benefit from the map on each level as enablers for HAD and potential improvement to certain ADAS applications at a reasonable price.

Abstract

Nowadays capability of reacting in real-time to unexpected events and road congestions on the monitored network is a primary necessity. Going From “automatic variable message signs publication” to “real-time scenario comparison” tools, we will investigate how a modern TMC...Lead moreNowadays capability of reacting in real-time to unexpected events and road congestions on the monitored network is a primary necessity. Going From “automatic variable message signs publication” to “real-time scenario comparison” tools, we will investigate how a modern TMC can help drivers and the whole community to save time, money and pollution. To this aim, while a lot of efforts are clearly concentrated on managing better traffic lights (with a number of consolidated and emerging adaptive management systems) it is doubtless that managing to inform drivers as soon as possible, either with VMS (variable message signs) or with ever more used routing applications deployed on mobile devices, is the best way to avoid that people will continue to congest the roads affected by unexpected problems. The VAO project (Vienna region) will be used to show how modern ITS systems that are model based can give more useful information to drivers, to help people to reduce their everyday travel times and to reroute in case of severe incidents.

Abstract

The carbon footprint of traffic signals as electrical devices is by far not negligible. Reducing energy consumption of the signal heads is a worthy challenge. We present the new near-market Sitraffic 1Watt Technology that allows saving as much as 80% to 90% of power consu...Lead moreThe carbon footprint of traffic signals as electrical devices is by far not negligible. Reducing energy consumption of the signal heads is a worthy challenge. We present the new near-market Sitraffic 1Watt Technology that allows saving as much as 80% to 90% of power consumption of traffic signals compared to state of the art technologies by simultaneously increasing safety level to meet SIL3 requirements and improve maintenance aspects. The paper explains the basic measures to reach this goal and estimates the benefit possible to large cities with regard to costs and carbon footprint if this approach is deployed in large-area.

Abstract

Mobile tolling services improve the journey experience on toll highways by offering an alternative tolling solution that is of particular interest to infrequent users. For the toll road operator, it offers a possibility to improve the overall tolling performance and to re...Lead moreMobile tolling services improve the journey experience on toll highways by offering an alternative tolling solution that is of particular interest to infrequent users. For the toll road operator, it offers a possibility to improve the overall tolling performance and to reduce operational costs. The mobile tolling service offering can be extended by services that improve the road user’s experience on the toll road such as toll account management (add funds, edit vehicles, etc.), traffic management (get live traffic information and report incidents), and parking (find and pay for parking).

Abstract

Finland will provide a unique Arctic ITS test site for automated driving. The Snowbox test ecosystem will be designed for verifying and validating new C-ITS solutions and innovations in real Arctic winter conditions. Aurora is focusing on Automated Driving, Mobility as a ...Lead moreFinland will provide a unique Arctic ITS test site for automated driving. The Snowbox test ecosystem will be designed for verifying and validating new C-ITS solutions and innovations in real Arctic winter conditions. Aurora is focusing on Automated Driving, Mobility as a Service, Digital Transport Infrastructure and Intelligent Infrastructure Asset Management. Current legislation in Finland already facilitates advanced automation on public roads but Aurora also provide a safe and secure test site for prototype testing supplemented with a broad selection of services. Both test environments form the backbone of the Snowbox test ecosystem. Autonomous driving provides great opportunities for the development of safe and efficient transport system, but there are also potential risks that road authorities need to prepare for. Accurate mapping of road performance and road structure together with numerous vehicle sensors describing road conditions and weather enable a real-time follow-up and guidance of road maintenance and repair operations.

Abstract

Congestion is a growing and global problem, impacting the majority of people traveling and goods moving. Governments are challenged to keep the traffic flowing, to reduce pollution and decrease the economic damage caused by congestion. Highly accurate traffic information ...Lead moreCongestion is a growing and global problem, impacting the majority of people traveling and goods moving. Governments are challenged to keep the traffic flowing, to reduce pollution and decrease the economic damage caused by congestion. Highly accurate traffic information helps governments reach their goals of empowering both their economy and society in using smart and sustainable mobility systems. On the other hand, the increasing volume of connected cars in the market made Floating Car Data (FCD) more important, as it is FCD that makes this connection possible, and raised awareness among the public authorities on its use and prospects in making mobility more effective. Today Traffic Management as conducted by public authorities is not linked to the individual routing advice that mobility service providers provide. Traffic Management 2.0 is in the process of addressing this issue and integrating the different information pieces of the puzzle into one holistic information loop. The paper sets the scene of the evolutionary process in Traffic Management and discusses future Traffic Management.

Abstract

We present a technology to derive and report the impact of the current weather conditions on real-time road congestion using floating car data. This technology enables the creation of accurate alert messages on weather related congestion and accurate prediction of the loc...Lead moreWe present a technology to derive and report the impact of the current weather conditions on real-time road congestion using floating car data. This technology enables the creation of accurate alert messages on weather related congestion and accurate prediction of the location of queue ends. The alerts are provided to connected navigation systems and road authorities to provide safety alert messages at the right time to the impacted drivers on the road.

Abstract

In this paper, APEC-IOV and MMC project are reported.In this paper, APEC-IOV and MMC project are reported.

Abstract

Controller area network (CAN) technology is widely adopted in vehicles, but attention has been drawn recently to its lack of security mechanisms. Numerous countermeasures have been proposed, but most of them can be difficult to be implemented early, in part because most o...Lead moreController area network (CAN) technology is widely adopted in vehicles, but attention has been drawn recently to its lack of security mechanisms. Numerous countermeasures have been proposed, but most of them can be difficult to be implemented early, in part because most of the proposed countermeasures require extensive modifications to existing in-vehicle systems. To arrive at a solution to this problem, we propose a method of protecting CAN without the need to modify existing systems. In this paper, we also explain the cloud system to deal with unknown attacks to detect signs of attack. Our proposed method protects CAN during whole lifecycle of Vehicles by cooperating with the cloud system. We report the result of our experiments an show its efficacy against typical security threats faced by CAN.

Abstract

Public transport networks try to build their schedules to ensure an efficient operation. Each transit agency has its own performance index of interest and building a generic schedule optimization framework that would cater to different criteria of various agencies is diff...Lead morePublic transport networks try to build their schedules to ensure an efficient operation. Each transit agency has its own performance index of interest and building a generic schedule optimization framework that would cater to different criteria of various agencies is difficult. In this paper, we present a novel framework of schedule optimization that is flexible in catering to different objective and at the same time being efficient and scalable to large networks. In this paper, apart from optimizing conventional performance indices like vehicle utilization and revenue, we also demonstrate the use of the optimization framework to generate schedules that would minimize passenger waiting times. We demonstrate the efficacy of our methods on data from a transit network in a Latin American city.

Abstract

In this paper, we presented a transportation platform for engaging commuters in modern smart cities. We discussed how an integrated platform can both collect data from commuters and also deliver personalized information to the commuter to enable them to make smarter choic...Lead moreIn this paper, we presented a transportation platform for engaging commuters in modern smart cities. We discussed how an integrated platform can both collect data from commuters and also deliver personalized information to the commuter to enable them to make smarter choices on the move. We have discussed the key challenge of engaging the commuter and have presented some of our techniques and ongoing work.

Abstract

Vehicle counting is one of the fundamental tasks in the intelligent transportation system (ITS). Although automatic vehicle counters have been proposed to retrieve realtime traffic data, current automatic vehicle counters are suffered from high deployment costs, resulting...Lead moreVehicle counting is one of the fundamental tasks in the intelligent transportation system (ITS). Although automatic vehicle counters have been proposed to retrieve realtime traffic data, current automatic vehicle counters are suffered from high deployment costs, resulting in limited number of deployments. In this paper, we present a vehicle counter using sidewalk microphones. Our vehicle counter relies on two sidewalk microphones and counts vehicles using sound map, which is a time-difference map of vehicle sound on the two microphones. We developed a vehicle count algorithm using sound map employing dynamic time warping (DTW). Experimental evaluations reveal that our vehicle count system successfully counted vehicles with a precision of 0.92.

Abstract

V2V broadcast communication is not only promising for safety driving assistance to prevent collision, but also enhancing automated driving ability by sharing local object information with other vehicles. However, an important issue is how to reduce delay and achieve depen...Lead moreV2V broadcast communication is not only promising for safety driving assistance to prevent collision, but also enhancing automated driving ability by sharing local object information with other vehicles. However, an important issue is how to reduce delay and achieve dependable communication that is essential for automated vehicle control by machine. Since radio propagation often exhibits fading and shadowing on the road, V2V packet error happens probabilistically. Although multiple transmission method can enhance reliability of broadcast transmission, transmission delay significantly increases as packet reception rate decreases. In order to reduce the delay of multiple transmissions, a relay-assisted broadcast transmission method is proposed in this paper. The proposed method can improve packet reception rate by path diversity effect and remarkably reduce average transmission delay due to multiple transmission. Performance with roadside relay stations on a straight road environment is evaluated by large-scale network simulation. The obtained results show that average delay is remarkably reduced to 1/2 to 1/7 of the normal multiple broadcast transmission method. The lowest delay of less than 10 ms is achieved when two roadside relay stations are employed.

Abstract

Risk assessment and management is fundamental to the operation of a traffic network. Technical Committee (TC) 1.5 “Risk Management” of PIARC 2012 - 2015 focuses on the role of risk assessment in policy development, decision-making, risk management methodologies and emerge...Lead moreRisk assessment and management is fundamental to the operation of a traffic network. Technical Committee (TC) 1.5 “Risk Management” of PIARC 2012 - 2015 focuses on the role of risk assessment in policy development, decision-making, risk management methodologies and emergency management. TC 1.5 lays special emphasis on integrated risk management using ITS technology into risk and emergency management against combined and large hazards. It is recommended that decision-makers develop emergency traffic management plans for optimizing resources, ensuring both mobility and security, to achieve effective seamless communication with stakeholders through the use of Intelligent Transportation Systems and national road organisations continue to collect good examples of risk management and disseminate information to all of the stakeholders. Based on TC work, this paper shows the outline of Emergency Traffic Management Plans and Traffic Management Centre (TMC) in the context of risk and emergency management and the comparison of the TMC between some countries.

Abstract

In recent years, actual operation of automated truck platoon system in mixed traffic is considered under the limited traffic environment such as the expressway. As a truck forms a platoon with short gap in this system, the truck platoon may adversely affect a general traf...Lead moreIn recent years, actual operation of automated truck platoon system in mixed traffic is considered under the limited traffic environment such as the expressway. As a truck forms a platoon with short gap in this system, the truck platoon may adversely affect a general traffic. Therefore, in this paper, general acceptability for truck platoon is evaluated using driving simulator. Particularly, we evaluate acceptability of a driver of a general car for truck platoon.

Abstract

Governments and infrastructure operators generally provide information about planned, future transport disruptions through traditional communication channels such as the mass media or letters. These mediums can be expensive, fail to capture audience attention, and are not...Lead moreGovernments and infrastructure operators generally provide information about planned, future transport disruptions through traditional communication channels such as the mass media or letters. These mediums can be expensive, fail to capture audience attention, and are not tailored to the individual needs of each transport user. Machine learning techniques create an opportunity to provide more relevant, personalised notifications to users about future disruptions based on previous user behaviour. These notifications are ideally provided through a Data as a Service (DaaS) model. This model ensures that notifications can be provided to users through any mix of mediums (e.g. email, SMS, social media, applications), depending on their individual preferences. An intelligent solution for presenting notifications about the future disruptions most relevant to a transport user is discussed. This solution is based on a DaaS model, where the emphasis is on algorithms that learn what is most relevant to the user based on route selection and a history of interactions with the service. .

Abstract

Travel time variability has been considered as a key measure for travel performance. In this study, we empirically examines the characteristics of travel time variability in congested traffic using actual travel data from two different sites. We found that wide variations...Lead moreTravel time variability has been considered as a key measure for travel performance. In this study, we empirically examines the characteristics of travel time variability in congested traffic using actual travel data from two different sites. We found that wide variations exist in congested traffic and traffic oscillation has direct effects on those variations. However, such wide variation was not observed across lanes.

Abstract

Recent advances in V2X environment made technologies much higher level. We just think about that higher level technologies make V2X environment better. This paper studies the V2X environment considering various traffic congestion level and optimal speed control using the ...Lead moreRecent advances in V2X environment made technologies much higher level. We just think about that higher level technologies make V2X environment better. This paper studies the V2X environment considering various traffic congestion level and optimal speed control using the microscopic simulation (Vissim) based on proper parameters and algorithm. To evaluate road condition, we suggest some kinds of MOE e.g. recovery time, average speed, and delay. In conclusion, V2X environment can reduce the congestion in proper traffic volume. However, if traffic volume is almost near the capacity, even V2X environment can’t relieve the road condition. By slowing down the various speed limit gap, we found that reducing speed limit gap (10km/h) is more efficient to reduce stop and go effect. This result will be the foundation for the V2X environment much better.

Abstract

Many cities have implemented the automatic vehicle location (AVL) and smart card system for bus fleet. How to analyse big data generated by both systems has become a transformative trend recently. Development of IT technology in Taiwan has ensured the stability of AVL and...Lead moreMany cities have implemented the automatic vehicle location (AVL) and smart card system for bus fleet. How to analyse big data generated by both systems has become a transformative trend recently. Development of IT technology in Taiwan has ensured the stability of AVL and smart card system, which provides transit planning potential based on big data visualization. This paper aims to demonstrate how Institute of Transportation (IOT) of Taiwan uses data fusion technique to develop several dashboards that helps transit agency to analyse level of service of bus fleet. This has been done for the transit system in Taichung city, located in the middle of Taiwan.Individual who uses the smart card in Taichung accounts for about 85 percent of bus trips. The fusion algorithm of AVL and smart card data not only allows the us to analyse the origin-destination characteristic of individuals , but also helps to visualize loading factor of each bus. Practical examples are presented in this paper, which could offer precise information for decision makers of transit agencies, instead of relying on professional judgement. With user-friendly dashboards, the experience of using visualization to monitor overall transit performance are easily to be applied in other cities worldwide.

Abstract

Growing mobile networks and widely spread of Global Positing System (GPS) devices enables to collect large scale location and trajectory data. Using trajectory data to succeed, privacy and data characteristics are essential. Most anonymization methods are losing character...Lead moreGrowing mobile networks and widely spread of Global Positing System (GPS) devices enables to collect large scale location and trajectory data. Using trajectory data to succeed, privacy and data characteristics are essential. Most anonymization methods are losing characteristic for application service, like adding noise to trajectories. In this paper, we present anonymization method, dynamically adjust cluster size to maintain trajectory data characteristics, small mesh to the dense trajectories, large mesh to sparse trajectories, base on hierarchical spatial data structure. Proposed method is satisfied that adaptive size scaling and more efficient to maintain characteristic. Our experiment suggest that proposed method correctly anonymize Tokyo Urban flow data of 1.3M Trajectories and able to retain 99% of trajectories with detailed mesh for populated area.

Abstract

Sag sections are major congestion points of urban expressways in Japan. At sag sections, road grade changes from downward to upward gradually, so drivers do not recognize the change of the grade and the velocity of vehicles decrease gradually in the uphill section. This c...Lead moreSag sections are major congestion points of urban expressways in Japan. At sag sections, road grade changes from downward to upward gradually, so drivers do not recognize the change of the grade and the velocity of vehicles decrease gradually in the uphill section. This causes traffic congestion when traffic density is high. We developed a moving light guide system to control velocity of vehicles, and implemented into a sag section in urban expressway in Japan. After implementing the system, we could confirm the velocity in the uphill section was increased to some extent during the hours that traffic congestion was occurred.

Abstract

It is widely acknowledged that as population grows, transportation demand increases as follow. In order to alleviate traffic congestion problem, traffic control system has become one of the central topics in research and practice. Besides, there is a common problem which ...Lead moreIt is widely acknowledged that as population grows, transportation demand increases as follow. In order to alleviate traffic congestion problem, traffic control system has become one of the central topics in research and practice. Besides, there is a common problem which hinders the success of traffic control system, lacking of coordinal mechanism to integrate institutional management strategies. Though, it is not easy to settle due to the operation maintenance and deployment of hardware and software but cloud computing stands out as a mature technology having virtually unlimited capabilities and processing power that can solve those issues. However, it is found that a real case of implementing the proposed method and evaluating the effectiveness is rare. In past research many of them are all tested only on a simulated example. As a result, this paper presents the successful experience of a real-deployed adaptive signal control based on cloud computing in Taiwan. The before-and-after evaluation shows the incredible improvement of traffic condition through travel time, average velocity and the economic benefits of energy saving. The findings can be useful for decision makers to mitigate the congestion well on a real road network.

Abstract

The rapid expansion of Chinese urban traffic in recent years has raised serious issues, such as severe road congestion, high pollution emission, low vehicle efficiency, and high traffic accident rate, etc. The new generation of information technology, including cloud comp...Lead moreThe rapid expansion of Chinese urban traffic in recent years has raised serious issues, such as severe road congestion, high pollution emission, low vehicle efficiency, and high traffic accident rate, etc. The new generation of information technology, including cloud computing, Internet of things (IoT), big data application nowadays can provide effective solutions to reduce the aforementioned traffic problems. In this paper, careful analysis of the various problems related to the Hangzhou urban traffic management has been conducted, and a big-data based platform is then put forward for the corresponding urban traffic management and control, with focus on the public transit and commercial vehicles including taxi. The big-data based platform collects all the Hangzhou's public transportation and commercial vehicles data in a real-time basis, processes and analyzes the collected data to provide powerful support for intelligent decision-making. Through the data-centered intelligent decision making, the traffic management in Hangzhou now becomes "traceable", "verifiable" and "provable", from its previous status of "invisible", "inaudible" and "unmanageable". The design concepts and techniques proposed here can be easily extended to other similar cities, and hence is valuable to improve the general standard of urban traffic management.

Abstract

This paper presents a comprehensive way to utilise smart card data to model the bus system in Singapore. It is elaborated in detail how to extract bus routes and delivered timetables system wide from the vast pool of data. Challenges are illustrated and possible solutions...Lead moreThis paper presents a comprehensive way to utilise smart card data to model the bus system in Singapore. It is elaborated in detail how to extract bus routes and delivered timetables system wide from the vast pool of data. Challenges are illustrated and possible solutions explained. Further an assignment of the passenger demand onto the constructed transit supply is put forward based on the actual choice within the data. The assignment result is characterised through a high consistency between supply and demand and offers a wide range of possible analyses describing passenger and system behaviour. At last an aggregation of the data is presented which gives the opportunity to evaluate individual days and bus runs. Moreover, this leads the way to convention assignment techniques. Altogether the presented methodology is highly applicable to other cities with smart card technology and can be adopted.

Abstract

Currently, mobility services in a city are often operated in proprietary and isolation that leads to inconvenience for commuters, such as longer travel time due to unnecessary transit times and unexpected delays. Furthermore, raising needs for private transportation due t...Lead moreCurrently, mobility services in a city are often operated in proprietary and isolation that leads to inconvenience for commuters, such as longer travel time due to unnecessary transit times and unexpected delays. Furthermore, raising needs for private transportation due to the lack of effective mobility services result in more congestion and pollution in the cities, which contradict the vision of building smart, sustainable and green cities. This paper presents a conceptual architectural blueprint for a connected mobility services enabler platform, which enables interconnectivity between various mobility service providers. The paper also elaborates, by using envisioned use cases, on the application of the enabler platform in mobility domain, as well as the extension of such enabler platform as generalized service discovery and registry platform for any arbitrary services in the future smart cities. A prototype with concrete data models and interfaces is built and discussed to demonstrate the one of the many possible applications of the architecture and to show that interconnectivity can be achieved with little effort.

Abstract

In this work, we propose an assisted human powered vehicle with an innovative steering system to promote sustainable urban mobility. The innovative push-pull steering system is designed based on intuitive human body turning motions. A full scale prototype is developed to ...Lead moreIn this work, we propose an assisted human powered vehicle with an innovative steering system to promote sustainable urban mobility. The innovative push-pull steering system is designed based on intuitive human body turning motions. A full scale prototype is developed to conduct evaluations on the vehicle maneuverability dynamics and human steering ergonomics.

Abstract

Ticketing Vending Machine has been recently used in the city of Medan and will be used in some cities in Indonesia. Surveys have been carried out in Medan, in which the ticketing machine will be used, and two cities, i.e. Yogyakarta dan Surabaya, which expected will use t...Lead moreTicketing Vending Machine has been recently used in the city of Medan and will be used in some cities in Indonesia. Surveys have been carried out in Medan, in which the ticketing machine will be used, and two cities, i.e. Yogyakarta dan Surabaya, which expected will use the vending machine in the near future. Evaluation and analysis have been done to find the suitable vending machine to be used in Indonesia. Keywords: ticketing, vending machine

Abstract

Car navigation systems and other ITS related systems with map data are widely used and the importance of map updates is highly demanded. On the other hand, it is very difficult to detect the road updates before the actual changes. This paper reports the research on automa...Lead moreCar navigation systems and other ITS related systems with map data are widely used and the importance of map updates is highly demanded. On the other hand, it is very difficult to detect the road updates before the actual changes. This paper reports the research on automated data deduction of road updates using public tender notices and also authority’s help to indicate which notice is related to updates. In this research, support vector machine method is used to estimate the road updates from the automated collected public tenders from the webs. This research is for estimating the road updates at the public tenders opening periods, this means before the actual changes. In this paper, the performance of the method is verified as over around 70% without any help, on the other hand, if there are some help from authority, the number goes up.

Abstract

With the continuous development of social economy and industrial adjustment, urban population will be continuously increasing. At the same time, economic activities are conducted more and more frequently, commercial activities will be more dynamic, the quantity and freque...Lead moreWith the continuous development of social economy and industrial adjustment, urban population will be continuously increasing. At the same time, economic activities are conducted more and more frequently, commercial activities will be more dynamic, the quantity and frequency of automobile usage will greatly increase, and it will bring heavy pressure for city transportation. As a result, Vehicle parking is becoming the “bottleneck” which restricts the economic development in China’s large and middle city. At the same time, the management efficiency and security of traditional parking lots is far behind social demands, and has brought huge inconvenience to people’s daily life. This paper combines With our rich designing experience accumulated in ITS implementation, a parking management and charging system based on the RFID techniques is proposed in this paper, with detailed analysis on the design logic and corresponding analysis.

Abstract

This paper focuses on driver’s behavior when encountering wrong-use of urban expressway entrance. First, wrong-use of expressway entrance is reviewed. Then, two case studies on driver’s behavior of wrong-use of expressway entrance analyzed by “Probe Data” are shown.This paper focuses on driver’s behavior when encountering wrong-use of urban expressway entrance. First, wrong-use of expressway entrance is reviewed. Then, two case studies on driver’s behavior of wrong-use of expressway entrance analyzed by “Probe Data” are shown.

Abstract

Median U-turn treatment for right turning vehicles at a signalized intersection (operating in left hand drive road system), also termed as Median U-turn (MUT) intersection, is one of the most common alternative intersection arrangement, which can improve both safety and c...Lead moreMedian U-turn treatment for right turning vehicles at a signalized intersection (operating in left hand drive road system), also termed as Median U-turn (MUT) intersection, is one of the most common alternative intersection arrangement, which can improve both safety and capacity of the intersection. However in such arrangement, right turning vehicles usually experience longer delay due to three factors: first, increased travel distance, second, additional number of traffic signals to pass (one traffic signal in direct right turn versus three traffic signals in MUT with a signal at U-turn), and third, due to additional demand effect as they usually share lane/s with left turning vehicles. In this study, we propose signal coordination and lane assignment strategies for deceasing U-turn delays and evaluate these strategies under different traffic demand conditions using a micro-simulation tool. Such innovative traffic management of alternative intersections may help to improve efficiency of traffic flow with well-designed driver information system.

Abstract

We focus on the traffic conflicts between cyclists and turning vehicles at signalized intersections and analyse the influence factor of dangerous conflicts and users’ behaviors through the observation surveys. We proposed the applicability of ITS technology for enhancing ...Lead moreWe focus on the traffic conflicts between cyclists and turning vehicles at signalized intersections and analyse the influence factor of dangerous conflicts and users’ behaviors through the observation surveys. We proposed the applicability of ITS technology for enhancing bicycle traffic safety at intersections based on our study’s results.

Abstract

To prevent from serious traffic accidents caused by drowsy driving, an event data recorder has attracted increasing attention. Our proposed method could estimate a driver’s drowsiness level by using data from an event data recorder. From experimental results, the followin...Lead moreTo prevent from serious traffic accidents caused by drowsy driving, an event data recorder has attracted increasing attention. Our proposed method could estimate a driver’s drowsiness level by using data from an event data recorder. From experimental results, the following capability of drowsiness level variability by our method was improved by feedback of the drowsiness level estimated s sec before. ‘Feedback’ means that the past output is added to features as another explanatory variable in order to estimate the current drowsiness level. And unlikely fluctuation in estimated drowsiness levels was reduced by feedback of a median value for the last s sec.

Abstract

In urban cities, a high percentage of road accidents happen at intersections and are often the results of inadequate surveillance by involved drivers. Our Sensors-Augmented INTersection (SAINT) project aims to develop a system that mitigates accidents at road intersection...Lead moreIn urban cities, a high percentage of road accidents happen at intersections and are often the results of inadequate surveillance by involved drivers. Our Sensors-Augmented INTersection (SAINT) project aims to develop a system that mitigates accidents at road intersections. The SAINT system makes use of advance technologies such as on-road 3D Laser Radar to track movement of vehicles and pedestrians, and in-vehicle GPS localization to track vehicles, anticipate impending collision possibilities and warn the corresponding drivers via Dedicated Short-range Communications (DSRC). In this paper, we shall cover the design and implementation of the SAINT system, and the evaluation of the reliability and accuracy of the system on actual road conditions in Singapore.

Abstract

Many studies to estimate vehicle position have been made to enable automated driving. To estimate vehicle position using road infrastructures, we propose a method of providing own-vehicle’s positional information from protuberance placed at even intervals on lane markings...Lead moreMany studies to estimate vehicle position have been made to enable automated driving. To estimate vehicle position using road infrastructures, we propose a method of providing own-vehicle’s positional information from protuberance placed at even intervals on lane markings. In this study, we define four conditions of the “moving sensor detectable code” that identifies the position of own-vehicle on lane markings. We conclude by introducing possible uses of providing information by using our code.