Kazuki Abe^1,*, Hideki Fujii², Shinobu Yoshimura²

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1091-1109, 2023, DOI:10.32604/cmes.2022.021376

Abstract Traffic simulators are utilized to solve a variety of traffic-related problems. For such simulators, origin-destination (OD) traffic volumes as mobility demands are required to input, and we need to estimate them. The authors regard an OD estimation as a bi-level programming problem, and apply a microscopic traffic simulation model to it. However, the simulation trials can be computationally expensive if full dynamic rerouting is allowed, when employing multi-agent-based models in the estimation process. This paper proposes an efficient OD estimation method using a multi-agent-based simulator with restricted dynamic rerouting to reduce the computational load. Even though, in the case of… More >

Hideki Fujii^*, Yuta Ushimaru, Tomonori Yamada, Shinobu Yoshimura

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.3, pp. 63-63, 2019, DOI:10.32604/icces.2019.05442

Abstract In order to evaluate transportation policies quantitatively, virtual social experiments using traffic simulators are adequate. In particular, simulators with features of both precision and scalability are preferable for applications to real-world and wide-spread traffic phenomena. In this research, we tried to parallelize a multi-agent-based traffic simulator (ADVENTURE_Mates) and enhance its parallelization performance. In the simulator, a road map is modeled as a graph and cars are modeled as autonomous agents. A car agent acquires information from its circumference (other cars, traffic lights, etc.), makes a decision autonomously, and acts based on the decision. The precision is accomplished by employing a… More >

Yonghua Zhou¹, Chao Mi¹, Xun Yang¹

CMES-Computer Modeling in Engineering & Sciences, Vol.86, No.6, pp. 533-550, 2012, DOI:10.3970/cmes.2012.086.533

Abstract The cellular automaton (CA) model for traffic flow describes the restrictive vehicle movements using the distance headway (gap) between two adjacent vehicles. However, the autonomous and synergistic behaviors also exist in the vehicle movements. This paper makes an attempt to propose a microscopic traffic simulation model such that the feedback control behavior during the driving process is incorporated into the CA model. The acceleration, speed holding and deceleration are manipulated by the difference between the gap and the braking reference distance the driver perceives, which is generally observed in the realistic traffic. The braking reference distance is related to the… More >