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Research on Cooperative Optimization Method of Traffic Signal and Speed of Connected Vehicles
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Xinyu Chen, Jian Chen, Lijun Qian, Qidong Wang
Automotive Engineering | 2024, 46(12) : 2267 - 2278
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Automotive Engineering | 2024, 46(12): 2267-2278
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Research on Cooperative Optimization Method of Traffic Signal and Speed of Connected Vehicles
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Xinyu Chen, Jian Chen, Lijun Qian, Qidong Wang
Affiliations
  • Department of Automotive and Traffic Engineering,Hefei University of Technology,Hefei 230009
Published: 2024-12-25 doi: 10.19562/j.chinasae.qcgc.2024.12.013
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In order to improve the traffic efficiency at the signalized intersections and the fuel economy of vehicles,a cooperative optimization method of traffic signals and speed of connected vehicles considering the human driver error is proposed in this paper. In the traffic layer,by transforming the traffic signal optimization problem into a sequencing problem to find the optimal sequence of vehicles passing through the intersections,the optimal control model for traffic signal optimization is constructed and a traffic signal optimization algorithm based on dynamic planning is proposed. In the vehicle layer,the optimal control model for vehicle speed optimization is constructed by considering the influence of driver error,and a speed optimization algorithm based on fast stochastic model predictive control for connected vehicles is proposed. The simulation and intelligent connected micro-vehicle test results show that the co-optimization strategy proposed in this paper can effectively alleviate the deceleration and stopping of vehicles at intersections due to driver errors,and further reduce the travel time,idling time and fuel consumption of vehicles.

intelligent transportation  /  signalized intersections  /  cooperative control  /  human driver error
Xinyu Chen, Jian Chen, Lijun Qian, Qidong Wang. Research on Cooperative Optimization Method of Traffic Signal and Speed of Connected Vehicles[J]. Automotive Engineering, 2024 , 46 (12) : 2267 -2278 . DOI: 10.19562/j.chinasae.qcgc.2024.12.013
Year 2024 volume 46 Issue 12
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Article Info
doi: 10.19562/j.chinasae.qcgc.2024.12.013
  • Receive Date:2024-05-20
  • Online Date:2025-07-21
  • Published:2024-12-25
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  • Received:2024-05-20
  • Revised:2024-06-19
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    Department of Automotive and Traffic Engineering,Hefei University of Technology,Hefei 230009
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https://castjournals.cast.org.cn/joweb/qcygc/EN/10.19562/j.chinasae.qcgc.2024.12.013
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表12种不同金属材料的力学参数

Family
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Number of
genus
种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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