Simulation of Vehicle Startup Delay at Green Light and Its Direct and Chain-Reaction Impact on Traffic Flow

doi:10.16182/j.issn1004731x.joss.19-FZ0290E

Abstract

Abstract: In current traffic simulations, it is implicitly assumed vehicles are driven by ideal drivers. Therefore, simulated vehicles make the most reasonable decisions such as moving out immediately when traffic lights turn green, resulting in a gap between simulations and real traffics. Research shows that drivers, including those who follow the rules, show a delay in starting-up their vehicles at the green light. The vehicle startup delay (SUD) is even more significant for drivers by things such as cell phones during waiting. However, the SUD has rarely been considered in simulations. The SUD is simulated to study its impacts on the traffic flow of road networks. Multiple scenarios with various vehicle densities and network complexities are simulated to investigate the influences of these factors. The analytical results can also help transportation engineers to better design road networks by providing references as for road capacities when affected by SUD.

Key words: traffic simulation, startup delay at green light, driving behavior simulation, road capacities

CLC Number:

TP391.9

Luo Longxi, Xie Lijun, Wu Jianping, Xu Ming. Simulation of Vehicle Startup Delay at Green Light and Its Direct and Chain-Reaction Impact on Traffic Flow[J]. Journal of System Simulation, 2019, 31(11): 2422-2433.

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