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A robust optimization approach for dynamic traffic signal control with emission considerations

  • Published:2016-09 Issue: Volume:70 Page:3-26
  • ISSN:0968-090X
  • Container-title:Transportation Research Part C: Emerging Technologies
  • language:en
  • Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Han Ke,Liu Hongcheng,Gayah Vikash V.,Friesz Terry L.,Yao Tao

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Cited by 84 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Maximin headway control of automated vehicles for system optimal dynamic traffic assignment in general networks;Transportation Research Part E: Logistics and Transportation Review;2024-08

2. Modeling residual-vehicle effects on uncertainty estimation of the connected vehicle penetration rate;Transportation Research Part C: Emerging Technologies;2024-08

3. Constrained Reinforcement Learning for Fair and Environmentally Efficient Traffic Signal Controllers;ACM Journal on Autonomous Transportation Systems;2024-06-29

4. Quantitative Approach for Coordination, at Scale, of Signalized Intersection Pairs;2024 European Control Conference (ECC);2024-06-25

5. Deep Reinforcement Learning Technique for Traffic Metering in Connected Urban Street Networks;Transportation Research Record: Journal of the Transportation Research Board;2024-06-19
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