A development of the microscopic road traffic simulator for congestion analysis including environmental and economic factors

在本研究中，我们开发了道路交通模拟器“MITRAM”，用于使用模糊推理分析交通拥挤，并对四个问题进行了模拟分析：首先，我们使用交通工程的理论值和现场数据对驾驶模型进行了验证，得到了合理的结果。驾驶模型包括车辆跟驰模型、右转模型和信号交叉口模型。其次，将MITRAM应用于以下研究应用：1.为了将真实的交通传感器数据直接输入到MITRAM中，我们构建了交叉口网络模型。我们将该模型应用于MITRAM，并模拟了一个比较大的区域的交通模型的41个交叉口在高知市的城市地区。结果表明，模拟结果准确，重现性好。此外，我们 关于我们 2.在MITRAM中增加了基于交通数据的NO_x和CO_2排放估算功能。我们对调布市市区进行了道路交通模拟，并获得了市区几个点的空气污染排放量。结果表明，利用该函数可以了解污染物排放量与交通信号控制之间的关系。3.城市轨道交叉口对周边道路交通的影响是一个突出的问题。解决这个问题的一个办法是安装交通信号灯。对京滨高速蒲田站附近的京滨第一国道的铁路道口区域进行了模拟分析。我们证实了交通信号灯的安装增加了60%的通行能力，因此，它是非常有效的减少交通拥堵。4.我们增加了车辆的路径选择功能。我们进行了模拟分析，以检查是否提供交通信息，以每辆车是有效的，以减少拥堵，并导致新的拥堵在周边地区。结果表明，交通信息对交通流有显著影响。我们证实，交通信息对于减少拥堵很有用，同时它会将一些拥堵传播到周围道路。少

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 qu … More antitatively 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. Less