Conference Papers Year : 2022

Adapting on Road Traffic-Oriented Controlled Optimization of Phases to Heterogeneous Intersections

Ziyan Qiao
  • Function : Author
  • PersonId : 1275171
Rui Sun
  • Function : Author
  • PersonId : 1275172
Shiyao Chen
  • Function : Author
  • PersonId : 1275173
Dong Zi
  • Function : Author
  • PersonId : 1275174
Xingyu Wu
  • Function : Author
  • PersonId : 1275175
Qian Wang
  • Function : Author
  • PersonId : 1275176
Endong Tong
  • Function : Author
  • PersonId : 1118819
Wenjia Niu
  • Function : Author
  • PersonId : 1051602
Jiqiang Liu
  • Function : Author
  • PersonId : 1275177

Abstract

The optimization of traffic signal control has become a significant issue concerned by the whole society with the increasingly travel demands and the rise of vehicles on roadways. As one of the mature optimization, the Controlled Optimization of Phases (COP) plays an important role at traditional isolated intersections with 8 phases. In recent years, however, few previous studies have investigated the applicability of this algorithm at real heterogeneous intersections. In this paper, we propose an improved COP algorithm, in which we implement a Phase Processing method and embed an adaptor by reorganizing the workflow before the generation of signal timing plan. We are the first to extend the COP to support 4 phases of 3-direction intersection, aiming to push the development of COP, as a distributed and independently-deployed algorithm, towards more real but heterogeneous intersections. We respectively conduct the experiment at intersections with 4 phases and 8 phases and compare the detailed performance including average vehicle delay under different traffic flow. The results show the effectiveness and possibility of our method applying to heterogeneous intersections to some extent.
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hal-04178739 , version 1 (08-08-2023)

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Ziyan Qiao, Rui Sun, Shiyao Chen, Dong Zi, Xingyu Wu, et al.. Adapting on Road Traffic-Oriented Controlled Optimization of Phases to Heterogeneous Intersections. 12th International Conference on Intelligent Information Processing (IIP), May 2022, Qingdao, China. pp.522-535, ⟨10.1007/978-3-031-03948-5_42⟩. ⟨hal-04178739⟩
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