Design of a Multiperiod Tradable Credit Scheme under Vehicular Emissions Caps and Traveler Heterogeneity in Future Credit Price Perception

Miralinaghi, Mohammad; Peeta, Srinivas

doi:10.1061/(asce)is.1943-555x.0000570

Cited by 14 publications

(5 citation statements)

References 24 publications

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“…In Shirmohammadi and Yin (2016), the maximum queue in a bottleneck is studied when tradable credit schemes are implemented. Other works on tradable credit scheme can be found in Wu et al ( 2012), Miralinaghi and Peeta (2020) and Hosseininasab et al (2018).…”

Section: Dedicated Lanes and Tradable Schemesmentioning

confidence: 99%

Bridging the user equilibrium and the system optimum in static traffic assignment: a review

Morandi

2023

4OR-Q J Oper Res

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Solving the road congestion problem is one of the most pressing issues in modern cities since it causes time wasting, pollution, higher industrial costs and huge road maintenance costs. Advances in ITS technologies and the advent of autonomous vehicles are changing mobility dramatically. They enable the implementation of a coordination mechanism, called coordinated traffic assignment, among the sat-nav devices aiming at assigning paths to drivers to eliminate congestion and to reduce the total travel time in traffic networks. Among possible congestion avoidance methods, coordinated traffic assignment is a valuable choice since it does not involve huge investments to expand the road network. Traffic assignments are traditionally devoted to two main perspectives on which the well-known Wardropian principles are inspired: the user equilibrium and the system optimum. User equilibrium is a user-driven traffic assignment in which each user chooses the most convenient path selfishly. It guarantees that fairness among users is respected since, when the equilibrium is reached, all users sharing the same origin and destination will experience the same travel time. The main drawback in a user equilibrium is that the system total travel time is not minimized and, hence, the so-called Price of Anarchy is paid. On the other hand, the system optimum is an efficient system-wide traffic assignment in which drivers are routed on the network in such a way the total travel time is minimized, but users might experience travel times that are higher than the other users travelling from the same origin to the same destination, affecting the compliance. Thus, drawbacks in implementing one of the two assignments can be overcome by hybridizing the two approaches, aiming at bridging users’ fairness to system-wide efficiency. In the last decades, a significant number of attempts have been done to bridge fairness among users and system efficiency in traffic assignments. The survey reviews the state-of-the-art of these trade-off approaches.

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Section: Dedicated Lanes and Tradable Schemesmentioning

confidence: 99%

Bridging the user equilibrium and the system optimum in static traffic assignment: a review

Morandi

2023

4OR-Q J Oper Res

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“…They assumed that the road construction costs were equally distributable across periods. There are several other studies that also investigate the network-level impact of construction scheduling (Miralinaghi et al, 2019a;Miralinaghi & Peeta, 2020;Miralinaghi et al, 2020a). See Table 2.4 for a summary of the literature review.…”

Section: Planning Contextmentioning

confidence: 99%

“…In this study, the optimal project scheduling problem is formulated as a bi-level model. Several transportation problems are modeled using the bi-level model (Miralinaghi & Peeta, 2016;Miralinaghi & Peeta, 2018;Miralinaghi, 2018;Miralinaghi & Peeta, 2019;Miralinaghi et al, 2019b;Miralinaghi & Peeta, 2020). In the upper-level, the planner's goal is to schedule road construction work zones to minimize the impacts on both users and community.…”

Section: Formulation Of Optimal Project Scheduling Problemmentioning

confidence: 99%

Network-Level Scheduling of Road Projects During the Construction Season Considering Network Connectivity

Woldemariam¹,

Agyemang²,

Miralinaghi³

et al. 2019

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INDOT implements several hundred highway projects annually. One of the unintended (and adverse) consequences of road work is the establishment of work zones or full or partial closure of certain road links and the subsequent impairment of network connectivity during the construction season. The temporary reduction in network connectivity can lead to reduced mobility and decreased accessibility to businesses. The user costs incurred during highway construction can be significant, particularly where the affected links have very high traffic volumes or offer few opportunities to detour. Delay also inflicts costs on the non-traveling public, such as when it is necessary to reroute school buses in communities. Delay-related costs also impact the traveling public and shippers of raw materials and finished products. In some cases, construction-related disruptions cause adverse impacts on adjacent businesses. The main objective of this study was to develop a methodology and software tool that INDOT's Construction and Contracts Division could use to evaluate the systemic impacts of work zones on a network. The optimal schedules developed using the methodology were checked using data from past projects and was validated by comparing the reduction in user costs compared to actual past construction schedules. The case study results showed that, compared with INDOT's current plan, the developed framework would greatly reduce the user and business disruption costs associated with network-wide construction plans by providing optimal construction schedules. The developed network-level project scheduling methodology and software tool will help INDOT to plan various construction projects in a given district while considering user and business disruption costs.

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“…To solve this problem, the suggestions are made for transport managers to levy tradable credits on car travelers and subsidize the new added operating cost of public transport through the total revenue from these tradable credits levied on car travelers. In terms of the tradable credits scheme, Miralarnaghi and Peeta [32,33] proposed a multiperiod tradable credits scheme to reduce vehicular emissions. Seilabi et al [34] supposed that the transportation authority distributed travel credits to travelers directly and instantaneously and presented an AV-enabled tradable credits scheme to manage travel demand.…”

Section: Introductionmentioning

confidence: 99%

Optimization Scheme of Tradable Credits and Bus Departure Quantity for Travelers’ Travel Mode Choice Guidance

Zhou

et al. 2020

Journal of Advanced Transportation

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To analyze the influence of tradable credits and bus departure quantity on travelers' travel mode choice, this study investigated car travel and bus travel as research objects and established a two-mode day-to-day travel mode choice model based on tradable credits and bus departure quantity. To improve the guiding effect of tradable credits and bus departure quantity, an optimization scheme of tradable credits and bus departure quantity was developed with the goal of minimizing the system total travel time of car travel and the system total comprehensive cost of bus travel. Taking a test transportation network as an example, the influence of no tradable credits scheme, tradable credits scheme, and tradable credits and bus departure quantity scheme on the travelers’ travel mode choice behavior was analyzed. The results showed that the tradable credits and bus departure quantity scheme could reduce the saturation of road traffic and improve bus service quality.

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Design of a Multiperiod Tradable Credit Scheme under Vehicular Emissions Caps and Traveler Heterogeneity in Future Credit Price Perception

Cited by 14 publications

References 24 publications

Bridging the user equilibrium and the system optimum in static traffic assignment: a review

Bridging the user equilibrium and the system optimum in static traffic assignment: a review

Network-Level Scheduling of Road Projects During the Construction Season Considering Network Connectivity

Optimization Scheme of Tradable Credits and Bus Departure Quantity for Travelers’ Travel Mode Choice Guidance

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