Multi-Lane Coordinated Control Strategy of Connected and Automated Vehicles for On-Ramp Merging Area Based on Cooperative Game

Yang, Lan; Zhan, Jiahao; Shang, Wen-Long; Fang, Shan; Wu, Guoyuan; Zhao, Xiangmo; Deveci, Muhammet

doi:10.1109/tits.2023.3275055

Cited by 14 publications

(6 citation statements)

References 41 publications

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“…Thus, it is suspected that beyond the introduction of widespread 20 mph speed limits and VAS signs across SBC area there may also be other interventions which can help further shift a greater number of drivers towards the 20 mph speed limit compliance. This may include psychological traffic calming measures such as centre line removal [22] from appropriate roads, edge-lines and other low-cost physical or perceptual measures featuring technological innovation (e.g., new-age high-visibility crosswalks [27] or perceptual traffic calming based on Internet-of-Things technology [31], AI methods [32], smart environments [33], or infrastructure-to-vehicle communications [34]).…”

Section: Policy Implications and Future Workmentioning

confidence: 99%

Effective Trigger Speeds for Vehicle Activated Signs on 20 mph Roads in Rural Areas

Olowosegun,

Fountas,

Davis

2024

Safety

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This paper aims to offer novel empirical evidence as to the identification of the most effective Trigger Speeds (TS) for Vehicle-Activated Signs (VAS) in rural areas. To achieve this, an experimental study was carried out in the area of Scottish Borders, UK, in settlements with 20 mph speed limits. To determine the effective trigger speeds for VAS, in terms of reducing vehicle speeds, a comparative quantitative analysis was conducted using traffic and speed data collected during different waves of a traffic survey, for which various TS settings were deployed (24 mph, 28 mph and 35 mph). The descriptive analysis showed that the 24 mph TS threshold seems to be more effective compared to the other TS settings considered, mainly in terms of reducing the 85th percentile speeds. The 28 mph threshold was identified to yield slightly lower mean speeds compared to the other TS settings. Non-parametric and parametric statistical tests were conducted on the basis of approximately 2.8 million speed observations to identify any statistically significant speed differences under various TS settings. Overall, the findings of this study show that the application of VAS in addition to 20 mph speed limits helps reduce vehicle speeds. In particular, setting a TS to remind drivers, especially those driving between 21–24 mph, that they should slow down has led to statistically significant reductions in speeds driven. This provides road safety benefits both from the reduction in kinetic energy in the transport system, any consequent crash-related outcomes, and also by improving perceived safety for all who use and live close to roads where 20 mph speed limits augmented with VAS have been implemented.

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Section: Policy Implications and Future Workmentioning

confidence: 99%

Effective Trigger Speeds for Vehicle Activated Signs on 20 mph Roads in Rural Areas

Olowosegun,

Fountas,

Davis

2024

Safety

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“…Furthermore, the cost allocated to individual CAVs within the big coalition, computed using the Shapley value, was found to be less than that within a coalition of one player coalition underscoring the superior performance of the grand coalition in optimizing multi-lane merging for CAVs. In another research, Yang et al [ 13 ] developed a decision-making approach for vehicle merging in multi-lane scenarios by integrating cooperative game theory with optimal control methods. They conducted experiments in a real-world road environment by simulating a two-lane mainline and a single-lane ramp.…”

Section: Related Workmentioning

confidence: 99%

Unlocking Mutual Gains—An Experimental Study on Collaborative Autonomous Driving in Urban Environment

Malik,

Khan,

El-Sayed

et al. 2023

Sensors

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Convoy driving, a specialized form of collaborative autonomous driving, offers a promising solution to the multifaceted challenges that transportation systems face, including traffic congestion, pollutant emissions, and the coexistence of connected autonomous vehicles (CAVs) and human-driven vehicles on the road, resulting in mixed traffic flow. While extensive research has focused on the collective societal benefits of convoy driving, such as safety and comfort, one critical aspect that has been overlooked is the willingness of individual vehicles to participate in convoy formations. While the collective benefits are evident, individual vehicles may not readily embrace this paradigm shift without explicit tangible benefits and incentives to motivate them. Moreover, the objective of convoy driving is not solely to deliver societal benefits but also to provide incentives and reduce costs at the individual level. Therefore, this research bridges this gap by designing and modeling the societal benefits, including traffic flow optimization and pollutant emissions, and individual-level incentives necessary to promote convoy driving. We model a fundamental diagram of mixed traffic flow, considering various factors such as CAV penetration rates, coalition intensity, and coalition sizes to investigate their relationships and their impact on traffic flow. Furthermore, we model the collaborative convoy driving problem using the coalitional game framework and propose a novel utility function encompassing incentives like car insurance discounts, traffic fine reductions, and toll discounts to encourage vehicle participation in convoys. Our experimental findings emphasize the need to strike a balance between CAV penetration rate, coalition intensity, size, and speed to realize the benefits of convoy driving at both collective and individual levels. This research aims to align the interests of road authorities seeking sustainable transportation systems and individual vehicle owners desiring tangible benefits, envisioning a future where convoy driving becomes a mutually beneficial solution.

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“…Luo et al [26] proposed control strategies to allow vehicles from different lanes to pass through conflict points, with the goal of minimizing delay and fuel consumption. Furthermore, for the problem of merging vehicles in different lanes, a multi-lane centralized cooperative control strategy based on a cooperative game was designed by Yang et al [27]. The cooperative game approach is employed to determine the optimal merging order of vehicles in different lanes, considering driving efficiency, comfort and fuel consumption as cost functions in the merging control area.…”

Section: Ramp Managementmentioning

confidence: 99%

Network-Level Hierarchical Bottleneck Congestion Control Method for a Mixed Traffic Network

Zeng,

Shao,

Sun

2023

Sustainability

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Due to the escalating transportation demand and the significant ramifications of traffic congestion, there is an imperative to investigate the sources of congestion, known as “congestion bottlenecks”. The implementation of control methods ahead of the occurrence of congestion is crucial. Connected and autonomous vehicles (CAVs) have a high potential within the field of traffic control. CAVs are exceptionally controllable and facilitate management feasibility. This study utilizes the high compliance of CAVs to provide an effective solution for the congestion management problem at the network level when mixed traffic flows are saturated. A linear programming model to reduce average travel time over the road network is developed. By utilizing a genetic algorithm, the optimal traffic demand regulation scheme can be obtained and the departure time of CAVs optimized. The effectiveness of the proposed method is validated through simulation across various road network scales, CAVs penetration rates, and controlled CAV proportions. The proposed method can only control a specific amount of CAVs, which, according to an analysis of the simulation results, significantly improves the performance of the transportation system. The importance of employing advanced control methods to improve the sustainability of urban transportation development and the travel experience is underscored in the conclusion.

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Multi-Lane Coordinated Control Strategy of Connected and Automated Vehicles for On-Ramp Merging Area Based on Cooperative Game

Cited by 14 publications

References 41 publications

Effective Trigger Speeds for Vehicle Activated Signs on 20 mph Roads in Rural Areas

Effective Trigger Speeds for Vehicle Activated Signs on 20 mph Roads in Rural Areas

Unlocking Mutual Gains—An Experimental Study on Collaborative Autonomous Driving in Urban Environment

Network-Level Hierarchical Bottleneck Congestion Control Method for a Mixed Traffic Network

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