Volume 19 Issue 6
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2019  >  19(6): 182-190
YU Hao, LIU Pan, BAI Lu, LU Xiao-bo. Dynamic traffic signal control strategies considering traffic incidents[J]. Journal of Traffic and Transportation Engineering, 2019, 19(6): 182-190. doi: 10.19818/j.cnki.1671-1637.2019.06.017
Citation: YU Hao, LIU Pan, BAI Lu, LU Xiao-bo. Dynamic traffic signal control strategies considering traffic incidents[J]. Journal of Traffic and Transportation Engineering, 2019, 19(6): 182-190. doi: 10.19818/j.cnki.1671-1637.2019.06.017
shu

Dynamic traffic signal control strategies considering traffic incidents

doi: 10.19818/j.cnki.1671-1637.2019.06.017
  • 1.

    School of Transportation, Southeast University, Nanjing 210096, Jiangsu, China

  • 2.

    School of Automation, Southeast University, Nanjing 210096, Jiangsu, China

  • 3.

    Department of Civil and Environmental Engineering, University of Hawaii at Manoa, Honolulu 96822, Hawaii, USA

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    Abstract
  • The numerical simulation approach was applied to evaluate the dynamic operation efficiency of road network under 3 typical traffic signal control strategies, including the fixed traffic signal control(FSC), the adaptive signal control minimizing vehicle delay(ASC-VD), and the adaptive signal control maximizing intersection capacity(ASC-IC). The dynamic traffic simulation platform was constructed by the double queue(DQ) model. An intersection traffic flow transfer optimization model was proposed, and the running state of traffic flow at the intersection in the DQ model was analysed. It was assumed that the users selected their routes according to the instantaneous user optimal(IUO) principle, and the IUO constraint was proposed considering the penalty term caused by the traffic signal control. The system total travel time and the travel time affected by traffic incidents or not were taken as evaluation indexes, the signal control effects under low, medium and high levels of traffic demands were studied. Analysis result shows that under the low and medium levels of traffic demand conditions, the system total travel time of ASC-VD is the lowest. Compared to the ASC-IC, the ASC-VD reduces the system total travel times by 0.45% and 0.18% without the influence of traffic incidents, respectively, and by 5.95% and 2.52% with the influence of traffic incidents, respectively. Under the high levels of traffic demand condition, the system total travel time of ASC-IC is the lowest. Compared to the ASC-IC, the ASC-VD reduces the system total travel time by 5.31% without the influence of traffic incidents, and by 5.46% with the influence of traffic incidents. Compared with the change range of system total travel time with or without the influence of traffic incidents, the FSC shows the highest stability under different traffic demands. Under the low and medium levels of traffic demand conditions, the ASC-VD performs more stable than the ASC-IC, while under the high level of traffic demand condition, the stabilities of the two strategies have no significant difference. Therefore, when the traffic demand is high, the intersection capacity should be improved, and when the traffic demand is low, the vehicle delay should be reduced.

     

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