Implications of static and dynamic road pricing strategies in the era of autonomous and shared autonomous vehicles using simulation-based dynamic traffic assignment: The case of Budapest

Shatanawi, Mohamad; Alatawneh, Anas; Mészáros, Ferenc

doi:10.1016/j.retrec.2022.101231

Cited by 13 publications

(12 citation statements)

References 48 publications

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“…Travelers who were not willing to pay the congestion charge preferred to take other non-priced and longer routes to avoid the fee, which resulted in increased congestion outside the pricing area. This expected behavior is in line with the findings of many recent studies [22,[43][44][45] and also points to the importance of the need to ensure adequate levels of public transport services before considering the implementation of road network pricing to ensure that travelers who do not want to pay the congestion charge have alternative travel options to choose from.…”

Section: Vehicle Count Vs Maximum Queue Lengthsupporting

confidence: 86%

“…In transport simulation studies, another important network performance parameter is the maximum queue length formed by vehicles, which is indicative of network congestion [43]. In this analysis, the authors calculated the sum of the maximum queue length and compared the simulation results with the vehicle count (Figure 5) for the high-cost In the medium-cost scenario, vehicle counts further decreased in all pricing schemes as compared to the non-pricing scenario (Figure 4b).…”

Section: Vehicle Count Vs Maximum Queue Lengthmentioning

confidence: 99%

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Comparative Evaluation of Road Pricing Schemes: A Simulation Approach (Australian Perspective)

Munir,

Dia,

Shafiei

et al. 2023

Sustainability

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Road network pricing and congestion charging continue to be debated as efficient instruments to address traffic congestion and emissions. For cities where the schemes have not been implemented yet, the impacts of these schemes are typically evaluated using transport simulation models to understand the impacts and design effective solutions before the schemes are deployed. This paper considers a simulation approach for the city of Melbourne in Australia to investigate the potential impacts of road network pricing on reducing private vehicle travel, road congestion, and vehicle emissions. The study uses a dynamic traffic simulation model developed for Melbourne using the AIMSUN modeling tool, which was extended for modeling road user pricing and congestion charging, including considerations and formulations of distance-based, delay-based, joint-distance-and-delay-based, and cordon-based schemes under low-cost, medium-cost, and high-cost regimes. The study’s contributions also include an extension of the modeling framework to include public transport options to allow for providing travelers with the option of choosing an alternative mode of transport if they do not wish to pay. A mesoscopic stochastic route choice modeling approach was adopted to examine the impact of road pricing inside a nominated charging zone within the network. The results showed it would be possible to achieve a reduction of 11% in vehicle count, a 20% reduction in travel time, a 13% reduction in emissions, and a 3% increase in travel speed within the proposed pricing zone under a high-cost pricing scenario. The results also showed a significant reduction in emissions resulting from shifting drivers who are not willing to pay the congestion charge to public transport. When 20% of car drivers shifted to public transport, carbon emissions were reduced by up to 30% and network performance improved by 45%, compared to the baseline scenario without pricing. The findings of this research provide important directions for policymakers in deciding on the type and scope of charging schemes to use and how these could reshape transportation taxation systems by moving away from taxes on vehicles through registration fees and towards user-pay taxations where travelers pay for the amount of travel they do or the pollution and emissions they are responsible for.

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Section: Vehicle Count Vs Maximum Queue Lengthsupporting

confidence: 86%

Section: Vehicle Count Vs Maximum Queue Lengthmentioning

confidence: 99%

Comparative Evaluation of Road Pricing Schemes: A Simulation Approach (Australian Perspective)

Munir,

Dia,

Shafiei

et al. 2023

Sustainability

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“…Some current research has ventured into this arena, offering cutting-edge discussions on the topic. Shatanawi et al found that road pricing strategies are essential for managing future CVIS, and the economic outcomes of these strategies are influenced by the penetration rates of different vehicle types [13]. Alonso Raposo et al examined the socio-economic impacts of CVIS-enabled transportation systems, suggesting that policy-driven influences are the most profound [14].…”

Section: Literature Reviewmentioning

confidence: 99%

Cooperative Vehicle Infrastructure System or Autonomous Driving System? From the Perspective of Evolutionary Game Theory

Bai,

Wen,

Zhang

et al. 2024

Mathematics

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In this paper, we explore the trade-offs between public and private investment in autonomous driving technologies. Utilizing an evolutionary game model, we delve into the complex interaction mechanisms between governments and auto manufacturers, focusing on how strategic decisions impact overall outcomes. Specifically, we predict that governments may opt for strategies such as constructing and maintaining infrastructure for Roadside Infrastructure-based Vehicles (RIVs) or subsidizing high-level Autonomous Driving Vehicles (ADVs) without additional road infrastructure. Manufacturers’ choices involve deciding whether to invest in RIVs or ADVs, depending on governmental policies and market conditions. Our simulation results, based on scenarios derived from existing economic data and forecasts on technology development costs, suggest that government subsidy policies need to dynamically adjust in response to manufacturers’ shifting strategies and market behavior. This dynamic adjustment is crucial as it addresses the evolving economic environment and technological advancements, ensuring that subsidies effectively incentivize the desired outcomes in autonomous vehicle development. The findings of this paper could serve as valuable decision-making tools for governments and auto manufacturers, guiding investment strategies that align with the dynamic landscape of autonomous driving technology.

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“…On the other hand, the associated benefits of AVs will increase accessibility for more people (e.g., kids and people with disabilities) and vehicle distance traveled due to eliminating the responsibility of driving (Simoni et al, 2019). This increment at a certain level may increase congestion, raising the need for advanced demand management schemes e.g., dynamic road pricing (Shatanawi et al, 2021;2022a;2022b;Simoni et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Emergence of Autonomous Vehicles Using Simulation-based Dynamic Traffic Assignment – The Case of Budapest

Alatawneh

Shatanawi

Mészáros

2023

Period. Polytech. Transp. Eng.

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Traffic and transport researchers, policymakers, and vehicle manufacturers are interested in investigating the implications and the influence of autonomous vehicles (AV) because a gradual deployment of such new technologies is expected to take place in the future. This research investigates the impacts of the AVs emergence on traffic performance for the city of Budapest in three future traffic scenarios with different AV market replacement rates for the year 2030. The network was modeled using simulation-based dynamic traffic assignment in PTV Visum software. Four traffic performance parameters were analyzed to explore the impacts of AV's emergence on the network. The results showed noticeable improvements among the four investigated traffic performance parameters.

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Implications of static and dynamic road pricing strategies in the era of autonomous and shared autonomous vehicles using simulation-based dynamic traffic assignment: The case of Budapest

Cited by 13 publications

References 48 publications

Comparative Evaluation of Road Pricing Schemes: A Simulation Approach (Australian Perspective)

Comparative Evaluation of Road Pricing Schemes: A Simulation Approach (Australian Perspective)

Cooperative Vehicle Infrastructure System or Autonomous Driving System? From the Perspective of Evolutionary Game Theory

Analysis of the Emergence of Autonomous Vehicles Using Simulation-based Dynamic Traffic Assignment – The Case of Budapest

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