抄録
Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research, Category: Grant-in-Aid for Scientific Research (C), Fund Type: -, Overall Grant Amount: - (direct: 3000000, indirect: -)
In this study, we developed the road traffic simulator "MITRAM" for the analysis of traffic congestion by employing fuzzy reasoning, and carried out simulation analysis for four problems.
First, we verified the driving model with the theoretical values of traffic engineering and field data, and obtained reasonable results. The driving model consists of vehicle-following model, right-turn model and signal-intersection model. Moreover, we also verified that when a large number of vehicles are generated, the MITRAM offers general traffic rules and characteristics.
Next, we applied the MITRAM to the following research applications.
1.In order to feed the sensor data from real traffic directly into the MITRAM, we constructed an intersection network model. We applied the model to the MITRAM and simulated the traffic of a relatively large area modeling the 41 intersections in the city area of Kochi-shi. It is confirmed that the simulation results are accurate and reproducible. In addition, we quantitatively verified that flatting the traffic demand due to off-peak is effective for reducing the congestion.
2.We added the function of emission estimation of NO_x (oxides of nitrogen) and CO_2 from the traffic data in the MITRAM. We carried out road traffic simulation for the city area of Chofu-shi and obtained the amount of air pollution emission at the several points of the city area. The result showed that it is possible to understand the relationships between the amount of emission and traffic signal control by using the function.
3.It is a significant problem that railway crossings in city areas hinder surrounding road traffic. One solution for this is to install traffic signals. We carried out simulation analysis for the railway crossing area of the first Keihin national road near Kamata station of Keihin express. We confirmed that the installation of traffic signals increased the traffic capacity by 60% ; thus, it is very effective for reducing the congestion.
4.We added the function of route choice into vehicles. We carried out simulation analysis to examine whether providing traffic information to each vehicle is effective for reducing the congestion and causes a new congestion in the surrounding area. The result showed that traffic information significantly affected the traffic flow. We confirmed that traffic information is useful for reducing congestion while it propagates some congestion to the surrounding roads.