Temporal-spatial allocation of bottleneck capacity for managing morning commute with carpool

Xiao, Lizu; Liu, Tianliang; Huang, Hai-Jun; Liu, Ronghui

doi:10.1016/j.trb.2020.11.007

Cited by 25 publications

(2 citation statements)

References 44 publications

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“…We especially consider all travelers have access to a car: the one they own, if they own one, or a shared or rental car. Such an assumption can also be found in Tian et al (2013) and Xiao et al (2021b).…”

Section: 𝜓(𝑐 𝑖 𝑙 𝑖 𝑡 𝑎 𝑖 𝑡 𝑑 𝑚) =mentioning

confidence: 72%

Dynamic Tradable Credit Scheme for Multimodal Urban Networks

Balzer

Ameli

Leclercq³

et al. 2022

SSRN Journal

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Section: 𝜓(𝑐 𝑖 𝑙 𝑖 𝑡 𝑎 𝑖 𝑡 𝑑 𝑚) =mentioning

confidence: 72%

Dynamic Tradable Credit Scheme for Multimodal Urban Networks

Balzer

Ameli

Leclercq³

et al. 2022

SSRN Journal

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“…Their focus is on optimizing commuting solutions in scenarios with limited parking availability. Xiao, L. et al [46] examined the temporal and spatial allocation of bottleneck capacity in the context of managing the morning commute with carpooling. Their aim was to improve overall efficiency through a strategic allocation approach.…”

Section: Traffic Bottleneck Managementmentioning

confidence: 99%

Travel Plan Sharing and Regulation for Managing Traffic Bottleneck Based on Blockchain Technology

Zhu,

Yu,

Fan

2024

Sustainability

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To alleviate traffic congestion, it is necessary to effectively manage traffic bottlenecks. In existing research, travel demand prediction for traffic bottlenecks is based on travel behavior assumptions, and prediction accuracy is low in practice. Thus, the effect of traffic bottleneck management strategies cannot be guaranteed. Management strategies are often mandatory, leading to problems such as unfairness and low social acceptance. To address such issues, this paper proposes managing traffic bottlenecks based on shared travel plans. To solve the information security and privacy problems caused by travel plan sharing and achieve information transparency, travel plans are shared and regulated by blockchain technology. To optimize the operation level of traffic bottlenecks, travel plan regulation models under scenarios where all/some travelers share travel plans are proposed and formulated as linear programming models, and these models are integrated into the blockchain with smart contract technology. Furthermore, travel plan regulation models are tested and verified using traffic flow data from the Su-Tong Yangtze River Highway Bridge, China. The results indicate that the proposed travel plan regulation models are effective for alleviating traffic congestion. The vehicle transfer rate and total delay rate increase as the degree of total demand increases; the vehicle transfer rate increases as the length of the time interval decreases; and the vehicle transfer rate and total delay rate increase as the number of vehicles not sharing their travel plans increases. By using the model and method proposed in this paper, the sustainability of urban economy, society, and environment can be promoted. However, there are many practical situations that have not been considered in this paper, such as multiple entry and exit bottlenecks, multiple travel modes, and other control strategies. In addition, this paper considers only one bottleneck rather than road networks because of the throughput limitations of blockchain technology.

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Company-Wide Carpooling for Long Distance Commuting in South Korea and Its Effects on Reducing Transportation Problems

Lee

2022

KSCE Journal of Civil Engineering

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Temporal-spatial allocation of bottleneck capacity for managing morning commute with carpool

Cited by 25 publications

References 44 publications

Dynamic Tradable Credit Scheme for Multimodal Urban Networks

Dynamic Tradable Credit Scheme for Multimodal Urban Networks

Travel Plan Sharing and Regulation for Managing Traffic Bottleneck Based on Blockchain Technology

Company-Wide Carpooling for Long Distance Commuting in South Korea and Its Effects on Reducing Transportation Problems

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