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Intelligent Transport Systems

It goes without saying that transport systems play a very vital role to support socio-economic activities all over the world. Especially, enhancing the activity and attractiveness of urban area requires a drastic improvement in transport system providing any kind of users with better service with high reliability, high frequency and low emission.

It has been expected that IT (Information Technology) may contribute to creating the intelligent and smart transport system that is generally called ITS (Intelligent Transport Systems), and we have been studying various approaches that are useful for making the transport network design, operation, management and control more effective and sophisticated. We adopt the comprehensive study approaches into which both descriptive and normative modeling approaches are incorporated for improving transport systems. Our study approaches are based on statistics, operations research, marketing research and traffic and transportation engineering. In addition, we attach a much importance to an experimental approach for traffic and transportation engineering based on the continuous observation of dynamic phenomena.

Academic Staff

Tadashi YAMADAYamada

Professor (Graduate School of Engineering)

Research Topics

I have been investigating the improvement and optimisation of transport and logistics systems, as well as exploring the key factors to develop the effective ones.
Current research topics involve the optimal design of transport, logistics, and supply chain networks towards enhancing their resilience and creating efficient multimodal networks.


Room 435, C1-2, Katsura Campus
TEL: +81-75-383-3233
FAX: +81-75-383-3236
E-mail: yamada.tadashi.2x@kyoto-u.ac.jp


Jan Dirk SCHMOECKERAssociate Professor (Graduate School of Engineering)

Research Topics


Room 436, C1-2, Katsura Campus
FAX: +81-75-383-3236
E-mail: schmoecker@trans.kuciv.kyoto-u.ac.jp

Research Topics

Development of Reliable Road Network System

Socio-economic systems in the 21st century become more complicated and more active, and thereby the social service provided by urban lifelines is apt to be evaluated in more severe way by the public. Also the road transport system is strongly required to provide the public with higher level of transport service. Accordingly, it is necessary for us to explicitly consider not only the average value of travel time and traffic volume but also their fluctuation caused by the time-dependent changes in travel demand.

In this study, higher level of service of road transport is defined as the transport service that enables travelers to reach their destination within their own predicted travel time under normal travel environment. In addition, the stable transport service provided under even extraordinary condition like occurring disaster can be regarded as another important characteristics of higher level of road transport service. Based on the discussion above, we have been studying the analytical approaches to road network reliability and the practical schemes to improve the transport network design, operation, management and control that may lead to enhancement of network reliability.

Figure 1  Concept of Travel Time Reliability

Development of Integrated Transport System Using ITS

It is necessary for us to intensively study the way to integrate various transport modes into a smart transport system using ITS, in order to create the better travel condition friendly for elderly people and urban environment. Also, encouraging travelers to use public transport more requires us to make the public transport system both less fluctuation in travel time and less load for travelers due to transferring to other modes.

In this study, we have been studying the integrated transport system that may contribute to improve the level of transport service for a community. Creating the integrated transport system requires us to enhance advantages of modes including demand bus, car-sharing system, public buss, taxi, LRT, Railway and private car. Also an intensive application of ITS is required to remedy disadvantages of the transport modes above. Figure 2 shows a concept of integrated transport system.

At this moment, we are analyzing the preference of prospective users for a new transport system into which demand bus, car-sharing system and public buss are integrated. We are also developing an efficient algorithm to make schedules to operate the demand bus.

Figure 2  Concept of Integrated Public Transport System

Development of Intelligent Safety System for Road Transport using ITS

The main objective of this study is to find suitable ways to apply ITS for developing the intelligent safety system for road transport where drivers, vehicles and road infrastructure work together safely with assistances by telecommunication. It is assumed that the intelligent safety system for road transport includes providing drivers with the dynamic information to assist their maneuvering vehicles beyond their driving knowledge and capabilities, and partially automating driving tasks to achieve more safe driving environment. In order to evaluate the intelligent safety system, we have been developing a microscopic traffic simulation model considering traffic conflicts explicitly.

As an initial step to develop the microscopic simulation model, we are now concentrating on analyses of the process of traffic conflicts between vehicles, using the data of vehicular trajectories at merging and weaving sections extracted from digital video image. Figure 3 shows a user-interface of PC-based tool to extract the vehicular trajectory and an example of extracted trajectories.

Figure 3   Example of Extracted Vehicular Trajectories at Merging Section

Analysis on the Efficacy of Road Traffic Information Provision

In these days, real time road traffic information has been provided in many cities. Information provision aims at encouraging drivers to user alternative routes/car parks, and dispersing the traffic demand spatially as well as temporally. Mitigating the traffic problems such as congestion can have a city more attractive and active. For evaluating the effect of information provision, the driver responses to traffic information is a crucial factor.

This study aims at quantifying the effect of information on driver route/car park choices. By using in-laboratory travel simulators as well as other survey methods, travel behaviours under information systems are discussed. Figure 4 shows computer-aided in-laboratory car-park choice simulator under parking information provision.

Figure 4  PC-based Laboratory-like Experiment to Investigate Parking Choice Behaviour

Real Time Origin-Destination Traffic Estimation Model

Origin-destination information is crucial for planning and managing of road traffic. Recent advances in communication and computer technologies have enabled real time observation of road traffic conditions. Based on real time traffic condition, dynamic traffic measures such as dynamic information provision and dynamic ramp metering can be implemented to the real world. However, as dynamic OD information is needed for exploring the optimal control strategy, the model that estimating up-to-date OD information based on current observation is needed.

This study proposes the methodology for estimating real time OD traffic volume based on the observations on the road. Also, by utilising the characteristics of the model that path-choice probability is not pre-determined, the proposed model can evaluate the dynamic traffic measures. Figure 5 illustrates one of the estimation results in a simple test network.

Figure 5  Estimated OD Traffic Volume

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