Journal of System Simulation
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.
Recommended Citation
Luo, Longxi; Xie, Lijun; Wu, Jianping; and Ming, Xu
(2019)
"Simulation of Vehicle Startup Delay at Green Light and Its Direct and Chain-Reaction Impact on Traffic Flow,"
Journal of System Simulation: Vol. 31:
Iss.
11, Article 28.
DOI: 10.16182/j.issn1004731x.joss.19-FZ0290E
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss11/28
First Page
2422
Revised Date
2019-07-07
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.19-FZ0290E
Last Page
2433
CLC
TP391.9
Recommended Citation
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.
DOI
10.16182/j.issn1004731x.joss.19-FZ0290E
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons