In this paper we are introducing a nanoscopic traffic simulation model, that aims to support investigations on traffic phenomena, based on driving behavior, that are difficult to model in a higher level. Steering angle and throttle position are the main parameters to model driver behavior. To gather such information, the model has an integrated driving simulator that allows driving in a simulated 3D environment. Vehicle tracking from the driving simulator is used to update the parameters of the simulation, to achieve a realistic representation. In this study, we have used the model to investigate the congestion causing sag curve phenomenon.
The coordination of signal programs at adjacent intersections is a multivariate optimization problem with many constraints. To assess the quality of optimization procedures, the impact of different performance measures, and the effect of the quality of the input data, a methodology has been developed to compare different offline optimization strategies using complete information of the traffic flow. The complete information is obtained by using a traffic flow simulation. To have a benchmark for a given optimization function, the best possible coordination for given conditions is computed using Particle Swarm Optimization (PSO). Different strategies can then be compared to this benchmark.
In this paper, we analyze highway detection system under different traffic scenarios. Traffic data collection depends on not only sensor technologies, but also where detectors are placed. Data validity highly varies on different traffic conditions and detection locations. To assess the detection efficiency, a generic data supply function is defined to describe detection system performance. In addition, speed data collection is selected as an example to determine a specific data supply function which depicts the relationship between speed detection variation and traffic state. The supply function is validated by a case study based on Tokyo Metropolitan Expressway.
本研究では，生体情報処理機構における免疫ネットワーク機構を応用した自己組織化による車両間協調システムの有効性の検討を行う．具体的には，検証シナリオとして合流部のような錯綜区間を対象とし，ドライバモデルに基づくミクロ交通シミュレーション環境において，TTC（Time to Collision）及びPICUD（Possibility Index for Collision with Urgent Deceleration） を用いて車両個々の安全性評価を行う．また，交通流及び平均速度の向上といった円滑性の評価を行うことで,提案する協調システムの有効性を検討する．