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Aug 30, 2023
Double-Layer Optimal Control Method for On-Ramp Merging
Authors: Sen Xia [email protected], Yanbin Yan [email protected], Yukun Fang [email protected], Ran An [email protected], Xia Wu, Ph.D. [email protected], Haigen Min, Ph.D. [email protected], and Zhigang Xu, Ph.D. [email protected]Author Affiliations
Publication: CICTP 2023
ABSTRACT
Congestion often occurs in the merging scene of an on-ramp, which reduces traffic efficiency and increases the risk of collision. This paper proposes a double-layer optimal control method designed for on-ramp merging. The upper layer uses the shortest path algorithm to determine the optimal merging sequence and allocates the initial time for vehicles to reach the merging zone, which minimizes the travel delay and the difference in average speed between two lanes. The lower layer first conducts trajectory planning according to Pontryagin’s maximum principle, and then the time optimization algorithm for arriving at the merging zone is used to ensure that all vehicles meet the speed constraints. The simulation experiment verifies the effectiveness of the proposed method and compares it with the first-in-first-out and no-control methods, and it improves traffic efficiency, fuel economy, and traffic fairness.
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Published online: Aug 30, 2023
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ASCE Technical Topics:
- Algorithms
- Energy efficiency
- Energy engineering
- Engineering fundamentals
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Mathematics
- Models (by type)
- Ramps (road)
- Traffic accidents
- Traffic congestion
- Traffic delay
- Traffic engineering
- Traffic management
- Traffic models
- Transportation engineering
- Travel time
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1School of Information Engineering, Chang’an Univ., Xi’an, China. Email: [email protected]
2School of Information Engineering, Chang’an Univ., Xi’an, China. Email: [email protected]
3School of Information Engineering, Chang’an Univ., Xi’an, China. Email: [email protected]
4School of Information Engineering, Chang’an Univ., Xi’an, China. Email: [email protected]
5Joint Laboratory for Internet of Vehicles, Ministry of Education–China Mobile Communications Corp., School of Information Engineering, Chang’an Univ., Xi’an, China. Email: [email protected]
6Joint Laboratory for Internet of Vehicles, Ministry of Education–China Mobile Communications Corp., School of Information Engineering, Chang’an Univ., Xi’an, China. Email: [email protected]
7Joint Laboratory for Internet of Vehicles, Ministry of Education–China Mobile Communications Corp., School of Information Engineering, Chang’an Univ., Xi’an, China. Email: [email protected]
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