Hisatomo Hanabusa

A study of the analytical method for the location planning of charging stations for electric vehicles

This study describes an analytical method for the location planning of charging stations for electric vehicles (EVs). EVs are expected to help CO2 reduction and to improve road environment such as noise level. In this paper, the theoretical framework of the optimum location of charging stations is explained. We assume that the number of charging stations to install and the basic performance are given. This framework has the base of the traffic assignment technique with Stochastic User Equilibrium (SUE) and its optimization will be achieved with the idea of the entropy maximization.

Traffic Simulation with AVENUE

In this chapter, AVENUE (Advanced & Visual Evaluator for road Networks in Urban arEas), the traffic simulation model which was developed in Japan, is described in terms of its traffic modeling and applications. AVENUE is a hybrid traffic simulation in the sense that the flow model is based on the fluid dynamics but the images of displayed vehicles are discrete for the convenience to deal with lane-wise details. AVENUE is normally applied to a small- to middle-size network such as one with 100 intersections. The flow model in AVENUE is detailed as in microscopic models, and it has a route choice function for several different user categories. Since 1992, it has been continuously upgraded so as to include additional functions for some special applications explained in this chapter.

Traffic information provision suitable for TV broadcasting based on macroscopic fundamental diagram from floating car data

This paper describes the feasibility study on the traffic information provision which is suitable for TV broadcasting by using floating car data (FCD). Recent telematics services provide traffic information via on-board car navigation units or portable navigation devices which facilitate interactive use but for limited number of users. On the other hand, the information provision via TV broadcasting has large number of viewer and may seems have significant influence on their travel behaviors especially in the case of singular traffic conditions. However the way of expression of traffic information via broadcasting has limitation in the interaction and the sparse resolution on TV monitors. In this paper, we will propose the mesh-wised traffic indices in terms of the fluidity and the singularity in traffic conditions based on the macroscopic fundamental diagram (MFD) of traffic flows. After the discussion on the theoretical framework, the preliminary studies using taxi probe data in Tokyo will be presented.

Sustainable ITS project overview: mixed reality traffic experiment space under interactive traffic environment for ITS

In this paper, we show the outline of our research on interactive traffic environment, under which we are developing mixed reality traffic experiment space. In order to develop sophisticated ITS applications, it is very important to analyze human factor, but there is few method to obtain human factor, thus, we have decided to create interactive traffic environment under which we can obtain human factors. As the first stage of our research, we have developed mixed reality traffic experiment space. It consists of real observation laboratory part and virtual experiment laboratory part. In the former part, we gather various real raw data to retrieve real environment model. In the later part, we present users more realistic driving environment based on the model. Based on this experiment space, we are going to proceed to the next stages, in which we design and evaluate sustainable ITS applications. For this purpose we have started sustainable ITS project at the university of Tokyo, collaborated among industry, government, and university.

An enhanced traffic simulation system for interactive traffic environment

This study develops a microscopic traffic simulation model (KAKUMO), which is built into a mixed reality experiment system under an interactive traffic environment. We are developing a mixed reality experiment system to examine several human factors such as driving behavior and travel choice behavior, which are required to design and evaluate various ITS systems. The system is characterized by the environment, in which a driver, vehicles and infrastructure are dynamically interacting with each other. In this paper, we introduce the specification and performance of the micro simulation model, which is built into the prototype mixed reality system.