Tradable Credit Scheme to Control Bottleneck Queue Length

Shirmohammadi, Nima; Yin, Yafeng

doi:10.3141/2561-07

Cited by 24 publications

(10 citation statements)

References 24 publications

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“…Network equilibrium has been a primary tool used to evaluate proposals and plans for urban road and transit systems throughout the world (Inoue and Maruyama, 2012). The main models of network equilibrium used in congestion pricing include: queueing network equilibrium (Yan and Lam, 1996;Shirmohammadi and Yin, 2016), elastic demand network equilibrium (Yang and Bell, 1997;Chen, 2013; Amirgholy and Gao, 2017) and dynamic/stochastic network equilibrium (Ying and Yang 2005;De Palma et al, 2005;Aboudina, 2016). Our paper focuses on the network equilibrium with elastic demand.…”

Section: Congestion Pricing and Network Equilibriummentioning

confidence: 99%

Impact of congestion pricing schemes on emissions and temporal shift of freight transport

Chen

Ignatius

Sun

et al. 2018

Transportation Research Part E: Logistics and Transportation Re

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This paper examines freight transport temporal shift and the vehicular pollutants emissions in an urban transport network with congestion pricing schemes, specifically when only freight transportation is tolled in the peak period. The equivalent minimization models of no-toll, first-best, and second-best congestion pricing scenarios are presented with an excess-demand approach based on user equilibrium analysis, in which the different pricing schemes include multiple time periods and mixed traffic. We established proofs for the equivalent conditions and the uniqueness conditions of the models. The findings and policy insights are discussed using simulation and sensitivity analyses of the key parameters.

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Section: Congestion Pricing and Network Equilibriummentioning

confidence: 99%

Impact of congestion pricing schemes on emissions and temporal shift of freight transport

Chen

Ignatius

Sun

et al. 2018

Transportation Research Part E: Logistics and Transportation Re

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“…Obviously, the above conditions ( 19), ( 20) and ( 23), ( 24) are equivalent to the user equilibrium conditions (8), ( 9) and the credit market equilibrium conditions (10), (11). Condition ( 21 ere exists at least one solution to VI problem (12).…”

Section: Is the Aggregate Ue Flow Pattern If And Only If It Solves The Following VI Problemmentioning

confidence: 99%

“…Besides, Shirmohammadi et al [10] established the identity between congestion pricing and tradable credit schemes in managing network and demonstrated how the identity fell apart when uncertainty in transportation supply or demand was taken into account. Later, the authors proposed a credit scheme to control the maximum queue length at a bottleneck [11]. Wang et al [12] proposed a bilevel programming model for continuous network design problem with TCS and equity constraints.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Impacts of Transaction Cost under a Tradable Credit Scheme with Heterogenous Users

Zhang

Lü

et al. 2021

Mathematical Problems in Engineering

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In this paper, the impacts of transaction cost are investigated under a tradable credit scheme (TCS) considering user heterogeneity. Under the credit scheme, a certain number of credits are initially distributed among all the travelers for a specific O-D pair, and a link-specific number of credits are charged from travelers using that link. The scheme allows for free trading of the credits among travelers, and both the sellers and buyers need to pay an extra transaction cost, which is associated with trading volume. Travelers in the network are assumed to be heterogenous with a discrete value of time (VOT). For a given tradable credit scheme and discrete VOT set, the combined network user equilibrium (UE) and credit-trading market equilibrium (ME) are formulated as a variational inequality (VI) problem, and the conditions for the uniqueness of the network flow pattern and the credit price at equilibrium are established. A bisection-based trial-and-error method is proposed to solve the proposed VI problems. Based on the simulation results, the computational advantages of the proposed method are demonstrated. Then, an example network is presented to investigate the effect of transaction cost in different kinds of markets. It is found that the implementation of transaction cost can suppress trading volume and either elevate or drive down the equilibrium credit price. Besides, it is also found that users with the lowest VOT suffer the most from the increase in transaction cost, while those with the higher VOT are more likely to experience a reduction in travel cost with the implementation of TCS.

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“…The concept of tradable credits has long existed in the economics literature (OECD, 2001) and has been used in several contexts including emissions (Hahnt and Nolltt, 1983), energy (Berry, 2002), and recycling (Bailey et al, 2004). In transportation, the concept was first proposed by Yang and Wang (2011) and subsequently investigated by several researchers including Wang et al (2012), Bao et al (2014), Wang et al (2014), Shirmohammadi and Yin (2016), and Xu and Grant-Muller (2016). Grant-Muller and and Miralinaghi (2018) provided a comprehensive review of TCS literature.…”

Section: Av-enabled Travel Demand Managementmentioning

confidence: 99%

Promoting Autonomous Vehicles Using Travel Demand and Lane Management Strategies

Seilabi

Tabesh

Davatgari

et al. 2020

Front. Built Environ.

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A key challenge facing cities of today is the persistent and growing urban congestion that has significant adverse effects on economic productivity, emissions, driver frustration, and quality of life. The concept of smart cities, which can revolutionize the management of metropolitan transportation operations and infrastructure, shows great promise in mitigating this problem. Specifically, the automation and connectedness (A&C) of smart city entities such as its infrastructure, services, and vehicles, can be helpful. In this regard, this paper focuses on the potential of autonomous vehicles (AVs) and AV infrastructure, particularly during prospective transition era where there will be mixed streams of AVs and human driven vehicles (HDVs). The paper considers two aspects of this potential: connectivity-enabled travel demand management and travel infrastructure supply through lane management. To demonstrate the opportunity associated with this potential, this paper first presents an AV-enabled tradable credit scheme (TCS) to manage travel demand. Here, the transportation authority distributes travel credits to travelers directly and instantaneously using the AV's A&C features. Travelers use their A&C features to pay these credits for travel at specific locations or times-of-day according to their choices of lane types and links. With regard to supply, this paper considers that the road network consists of two lane types: AV-dedicated, and mixed traffic lanes, and develops a scheme for travel demand and lane management strategies in the AV transition era (TLMAV). Firstly, the paper models the expected travel choices based on user equilibrium concepts, at different levels of AV market penetration. Then, the existence of the optimal solution in terms of link flows and the prevailing travel credit price is demonstrated. Then the paper establishes the optimal TLMAV that minimizes total travel time subject to user equity constraints. The results demonstrate the extent to which HDV users will suffer an increase in travel cost if equity is not considered in the model. The results also show how the transportation agency can use TLMAV to keep HDV travel costs to acceptable levels, particularly during the early stages of the AV transition period. Further, the paper shows how TLMAV could be designed to gradually diminish inequity effects so that travelers, in the long term, are motivated to shift to AVs.

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Tradable Credit Scheme to Control Bottleneck Queue Length

Cited by 24 publications

References 24 publications

Impact of congestion pricing schemes on emissions and temporal shift of freight transport

Impact of congestion pricing schemes on emissions and temporal shift of freight transport

Investigating the Impacts of Transaction Cost under a Tradable Credit Scheme with Heterogenous Users

Promoting Autonomous Vehicles Using Travel Demand and Lane Management Strategies

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