Space-time routing in dedicated automated vehicle zones

An, Yunlong; Li, Meng; Lin, Xi; He, Fang; Yang, Haolin

doi:10.1016/j.trc.2020.102777

Cited by 15 publications

(2 citation statements)

References 26 publications

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“…Additionally, Ding et al [19] proposed a rule-based adjustment strategy and summarized four cases of adjusting the passing order to facilitate the merging of vehicles in a near-optimal order. Grouping the vehicles in the same direction into platoons can reduce the search space size [15], [29] and has the potential to reduce the average vehicle delay even in congested traffic [30]. To enhance merging safety, the local gap-optimal rule creates gaps for vehicles, reducing the risk of merging in mixed traffic [31].…”

Section: A Cooperative Driving Strategymentioning

confidence: 99%

Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps

He,

Pei,

Guo

et al. 2024

IEEE Open J. Intell. Transp. Syst.

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Cooperative driving is crucial for improving traffic efficiency and safety for connected and automated vehicles (CAVs), especially in traffic bottlenecks. However, most of the state-of-the-art cooperative driving strategies neglect the issue of fairness. Fairness is essential to properly allocate road resources and improve the travel experience. In this paper, we focus on the fairness concerns in the on-ramp cooperative driving problem. First, we note that enhancing traffic efficiency usually leads to unfairness, but we propose solutions to balance both aspects. Using the fundamental relation in traffic flow theory, we illustrate the existence of the trade-off at congested on-ramps. We then make some modifications to the cooperative driving strategies to incorporate fairness considerations. Simulation results show that the modified strategies achieve trade-offs in agreement with the theoretical one, laying the foundation for implementing the trade-off in real-world scenarios. These findings are enlightening for the increasing research on fairness issues in cooperative driving, and contribute to the optimization of traffic management strategies.INDEX TERMS Connected and automated vehicles (CAVs), cooperative driving, on-ramp scenario, fairness and efficiency.

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Section: A Cooperative Driving Strategymentioning

confidence: 99%

Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps

He,

Pei,

Guo

et al. 2024

IEEE Open J. Intell. Transp. Syst.

View full text Add to dashboard Cite

show abstract

“…To improve traffic efficiency, cooperative driving in road networks aims to minimize the average delay of vehicles passing through the road network. Since many studies have discussed how to select appropriate driving routes for vehicles in a road network [33], [37], the problem of route planning is not addressed in this paper, i.e., we assume that the driving routes of vehicles are pre-determined. Thus, the delay of vehicle passing through the whole road network is the accumulated delay produced at different sections on its route, and we can get…”

Section: ) Decision Variablementioning

confidence: 99%

Distributed Cooperative Driving in Multi-Intersection Road Networks

Pei

Zhang

Tao

et al. 2021

Preprint

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Cooperative driving at isolated intersections attracted great interest and had been well discussed in recent years. However, cooperative driving in multi-intersection road networks remains to be further investigated, because many algorithms for isolated intersection cannot be directly adopted for road networks. In this paper, we propose a distributed strategy to appropriately decompose the problem into small-scale sub-problems that address vehicle cooperation within limited temporal-spatial areas and meanwhile assure appropriate coordination between adjacent areas by specially designed information exchange. Simulation results demonstrate the efficiency-complexity balanced advantage of the proposed strategy under various traffic demand settings.

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A time and energy efficient merging control for platoon formation of connected and automated electric vehicles at on-ramps

Li,

Ding,

et al. 2024

Nonlinear Dyn

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Space-time routing in dedicated automated vehicle zones

Cited by 15 publications

References 26 publications

Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps

Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps

Distributed Cooperative Driving in Multi-Intersection Road Networks

A time and energy efficient merging control for platoon formation of connected and automated electric vehicles at on-ramps

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