Managing Dedicated Lanes for Connected and Autonomous Vehicles to Address Bottleneck Congestion Considering Morning Peak Commuter Departure Choices

Seilabi, Sania E.; Pourgholamali, Mohammadhosein; Miralinaghi, Mohammad; He, Xiangjian; Labi, Samuel

doi:10.2139/ssrn.4142516

Cited by 2 publications

(3 citation statements)

References 25 publications

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“…Tani et al (2022) proposed a travel time reliability-based optimization problem that determines the deployment pattern of dedicated lanes to connected AVs, which accounts for the stochasticity both in terms of traffic demand and lane capacity. Seilabi et al (2022Seilabi et al ( , 2023 studied the robust design and management problems in dedicated lanes for connected and automated vehicles. Besides exclusive AV-lane deployment, few existing studies investigated the infrastructure planning problem for car-sharing systems of AVs, for instance, Zhao et al (2021).…”

Section: Network Design Problem (Ndp)mentioning

confidence: 99%

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Analysis on Braess paradox and network design considering parking in the autonomous vehicle environment

Zhang,

Waller,

Lin

2023

Computer aided Civil Eng

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This study is the first in the literature to examine the Braess paradox considering parking behavior in the autonomous vehicle (AV) environment, based on which the network design problem for the autonomous transportation system (NDP‐ATS) is modeled. First, we introduce the AV commuting pattern considering the self‐driving process for the parking purpose. We then illustrate the existence of two distinct Braess paradoxes that can occur in AV traffic networks with regards to parking space addition and network capacity expansion. They show that these two types of “improvement” measures might deteriorate the network system performance in an AV situation. Second, motivated to avoid the deterioration due to the introduced Braess paradoxes, we develop a bi‐level programming model for NDP‐ATS. The lower‐level program addresses the network‐equilibrium traffic assignment for AVs. The upper‐level program aims to minimize the network‐wide travel cost considering both occupied and empty AV trips by selecting the optimal design option accounting for road capacity enhancement and parking facility deployment simultaneously. To solve the developed bi‐level model, the simplicial homology global optimization algorithm is employed along with the Frank–Wolfe algorithm and the CPLEX. Finally, the efficacy of the modeling framework is validated through case studies on the Sioux Falls city network and the Anaheim network. The results show that the developed methodology is capable of producing high‐quality solutions with respect to savings in system‐level travel costs for AV traffic. The results also highlight the impacts of parking fees on the system performance for the optimized network. Additionally, it is found that the two objectives, which minimize the total system travel cost and minimize that for empty AV trips only, are conflicting for certain scenarios. The methodological approach introduced in this work serves as a critical modeling device for infrastructure development and policy assessment for AV traffic.

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Section: Network Design Problem (Ndp)mentioning

confidence: 99%

“…Seilabi et al. (2022, 2023) studied the robust design and management problems in dedicated lanes for connected and automated vehicles. Besides exclusive AV‐lane deployment, few existing studies investigated the infrastructure planning problem for car‐sharing systems of AVs, for instance, Zhao et al.…”

Section: Introductionmentioning

confidence: 99%

Analysis on Braess paradox and network design considering parking in the autonomous vehicle environment

Zhang,

Waller,

Lin

2023

Computer aided Civil Eng

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“…With the development of EV technology, the advent of connected and automated vehicles (CAVs) has introduced the possibility of creating dedicated lanes. These lanes could potentially enhance the efficiency of medical waste transportation and alleviate congestion, leading to further reductions in transport cost and carbon emissions (9)(10)(11). However, the use of EVs is hampered by challenges such as restricted capacity, limited driving range, and insufficient charging infrastructure (8).…”

mentioning

confidence: 99%

Adaptive Multi-Objective Algorithm for the Sustainable Electric Vehicle Routing Problem in Medical Waste Management

Lin,

Musa,

Yap

2023

Transportation Research Record: Journal of the Transportation R

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This paper addresses the complex issue of managing medical waste transportation using electric vehicles, with the goal of minimizing both energy consumption and the risks associated with hazardous waste. A multi-objective mixed-integer linear programming model is introduced, incorporating practical factors such as time windows, partial recharge policy, load-dependent discharge, infection risk, and trips to waste disposal facilities. Our proposed method, a combination of the multi-objective evolutionary algorithm using decomposition (MOEA/D) with adaptive large neighborhood search (ALNS) and local search (LS) techniques, is referred to as MOEA/D-ALNS. This method demonstrates superior performance compared with the non-dominated sorting genetic algorithm, NSGA-II, modified MOEA/D and MOEA/D-LNS in benchmark instances with realistic assumptions. Our experimental results revealed an inverse correlation between energy consumption and risk objectives. Sensitivity analyses showed that eliminating time-window constraints results in more energy-efficient and safer routes while maintaining a slightly lower battery energy level can strike an ideal balance between energy consumption, risk, and battery health. This research contributes to the understanding of infectious medical waste management with its consideration of electric vehicles and waste disposal. It lays a solid foundation for future studies aiming to improve the sustainability and efficiency of medical waste routing practices.

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Managing Dedicated Lanes for Connected and Autonomous Vehicles to Address Bottleneck Congestion Considering Morning Peak Commuter Departure Choices

Cited by 2 publications

References 25 publications

Analysis on Braess paradox and network design considering parking in the autonomous vehicle environment

Analysis on Braess paradox and network design considering parking in the autonomous vehicle environment

Adaptive Multi-Objective Algorithm for the Sustainable Electric Vehicle Routing Problem in Medical Waste Management

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