A time-dependent area-based pricing scheme for multimodal urban networks with user adaptation: An agent-based approach

Zheng, Nan; Rérat, Guillaume; Geroliminis, Nikolas

doi:10.1109/itsc.2014.6957734

Cited by 4 publications

(4 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A number of studies in the literature have previously applied transport modeling methodologies for evaluating a range of pricing solutions, including cordon pricing [13], distance-based pricing [14], parking pricing [6], road pricing in relation to parking pricing [15], freight charging [16], charging based on emissions [17], and combinations of these approaches [2]. A summary of these studies, which are relevant to the scope of work described in this paper, is provided next and summarized in Table 1.…”

Section: Background Literature On Road Pricing Simulation Studiesmentioning

confidence: 99%

See 1 more Smart Citation

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

Munir,

Dia,

Shafiei

et al. 2023

Sustainability

View full text Add to dashboard Cite

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.

show abstract

Section: Background Literature On Road Pricing Simulation Studiesmentioning

confidence: 99%

“…In another cordon pricing scheme study, the charge amount was defined as 3.2 yuan/trip, which is representative of USD 0.5 [40]. In a time-dependent pricing scheme, the optimal charge amount defined by the simulator was between USD 0.5 and USD 0.3 per vehicle per hour in the evening peak [14].…”

Section: Low-cost Scenariomentioning

confidence: 99%

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

Munir,

Dia,

Shafiei

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…After a time-dependent charge was applied, travel times were reduced [5]. In a study on dynamic pricing, an agent-based model showed that congestion pricing provided incentives to use public transport, which in turn impacted mode shift and departure time choices [95].…”

Section: Modelling Of Impactsmentioning

confidence: 99%

A Systematic Review of the Role of Road Network Pricing in Shaping Sustainable Cities: Lessons Learned and Opportunities for a Post-Pandemic World

2021

View full text Add to dashboard Cite

The growing number of studies on road network pricing requires adoption of systematic methodologies to assess research outcomes and provide an unbiased summary of research findings and lessons learned. This paper aims to identify and analyse primary studies related to a set of research questions on road network pricing that primarily address the effectiveness of road network pricing as a travel demand management strategy. The paper achieves this by consolidating the fragmented evidence on the topic and identifying the role of transport pricing in steering our post-pandemic cities on a path of sustainable urban mobility. The paper uses a reliable and auditable systematic approach to examine past and current research trends, resulting in a rational assessment of the role and impacts of road network pricing as a travel demand management strategy. The paper achieves this by performing a bibliometric citation analysis that identifies 105 articles of valuable research contributions that represent fundamental knowledge in the development of research covering the period between 2007 and 2020. Importantly, the review identifies four main research themes in the literature, namely implementation impacts, innovations in technology, acceptability, and modelling methodologies for determining impacts, that are core elements of the research effort on the travel demand management and sustainability aspects of road pricing. Inductive reasoning is then used to address emerging issues, applications, and the effects of road network pricing in reducing congestion and enhancing urban centre environmental quality. The paper concludes with a discussion of policy directions for overcoming barriers to the implementation of road network pricing as an effective strategy for addressing modern-day urban mobility challenges such as rising urban populations, emissions, and pollution particularly amid and post COVID-19. Finally, the paper provides a roadmap of future research opportunities that can heighten the role of road network pricing in shaping the directions of sustainable urban transport policies and strategies.

show abstract

“…Consequently, only the freeway network is charged with extra toll in the simulation experiment considering the significant difference of average speeds between the two-layer networks, however, if in field experiment, the two-layer networks would cooperatively take toll schemes. In this research, deterministic and homogeneous population characteristics are assumed with fixed VOT 16$/h [41,42], and the maximum toll is set as 10$ [43]. The fluctuated demand profile including two peak periods is presented in Figure 6.…”

Section: Mfd For Simulation Networkmentioning

confidence: 99%

A Two-Layer Network Dynamic Congestion Pricing Based on Macroscopic Fundamental Diagram

Wei

Sun

2018

Journal of Advanced Transportation

View full text Add to dashboard Cite

Dynamic congestion pricing has attracted increasing attentions during the recent years. Nevertheless, limited research has been conducted to address the dynamic tolling scheme at the network level, such as to cooperatively manage two alternative networks with heterogeneous properties, e.g., the two-layer network consisting of both expressway and arterial network in the urban areas. Recently, the macroscopic fundamental diagram (MFD) developed by both field experiments and simulation tests illustrates a unimodal low-scatter relationship between the mean flow and density network widely, providing the network traffic state is roughly homogeneous. It reveals traffic flow properties at an aggregated level and sheds light on dynamic traffic management of a large network. This paper proposes a bilevel programming toll model, incorporating MFD to solve the unbalanced flow distribution problem within the two-layer transportation networks. The upper level model aims at minimizing the total travel time, while the lower level focuses on the MFD-based traffic assignment, which extends the link-based traffic assignment to network wide level. Genetic algorithm (GA) and the method of successive average were adopted for solving the proposed model, on which an online experimental platform was established using VISSIM, MATLAB, and Visual Studio software packages. The results of numerical studies demonstrate that the total travel time is decreased by imposing the dynamic toll, while the total travel time savings significantly outweigh the toll paid. Consequently, the proposed dynamic toll scheme is believed to be effective from both traffic and economic points of view.

show abstract

A time-dependent area-based pricing scheme for multimodal urban networks with user adaptation: An agent-based approach

Cited by 4 publications

References 20 publications

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

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

A Systematic Review of the Role of Road Network Pricing in Shaping Sustainable Cities: Lessons Learned and Opportunities for a Post-Pandemic World

A Two-Layer Network Dynamic Congestion Pricing Based on Macroscopic Fundamental Diagram

Contact Info

Product

Resources

About