Modelling Externalities using Dynamic Traffic Assignment Models: A Review

Wismans, Luc Johannes Josephus; Berkum, Eric C. van; Bliemer, Michiel C.J.

doi:10.1080/01441647.2010.544856

Cited by 28 publications

(20 citation statements)

References 47 publications

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“…Therefore, we are interested in the performance of these three algorithms in solving the MO NDP optimizing externalities of traffic using strategic DTM measures influencing the supply of infrastructure. In addition, solving the NDP using DTM measures and modeling the objectives in a realistic manner incorporating traffic dynamics [11] results in solving the lower level using a dynamic traffic assignment (DTA) model, which increases the needed CPU time. Although we are mainly interested in finding improvements and not necessarily the exact Pareto optimal set, it does limit the budget of solutions that can be considered.…”

Section: Introductionmentioning

confidence: 99%

Comparison of evolutionary multi objective algorithms for the dynamic network design problem

Wismans

Berkum

Bliemer

2011

2011 International Conference on Networking, Sensing and Control

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In traffic and transport a significant portion of research and application is focused on single objective optimization, although there is rarely only one objective that is of interest. The externalities of traffic are of increasing importance for policy decisions related to the design of a road network. The optimization of externalities using dynamic traffic management measures is a multi objective network design problem. The presence of multiple conflicting objectives makes the optimization problem challenging to solve. Evolutionary multi objective algorithms has been proven successful in solving multi objective optimization problems. However, like all optimization methods, these are subject to the free lunch theorem. Therefore, we compare the NSGAII, SPEA2 and SPEA2+ algorithms in order to find a Pareto optimal solution set for this optimization problem. Because of CPU time limitation as a result of solving the lower level using a dynamic traffic assignment model, the performance by the algorithms is compared within a certain budget. The externalities optimized are noise, climate and accessibility. In a numerical experiment the SPEA2+ outperforms the SPEA2 on all used measures. Comparing NSGAII and SPEA2+, there is no clear evidence of one approach outperforming the other.

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Section: Introductionmentioning

confidence: 99%

Comparison of evolutionary multi objective algorithms for the dynamic network design problem

Wismans

Berkum

Bliemer

2011

2011 International Conference on Networking, Sensing and Control

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“…Zhang et al (2010) addressed the air quality component as part of objective function of the optimization routing problem, but have emphasized that an alternative deserving further analysis is to contemplate air quality as a form of constraint to the optimization problem. However, research has also demonstrated that there are no single solutions to optimize all main traffic externalities (emissions, noise and safety issues) (Wismans et al, 2011). Furthermore, the major traffic environmental externalities (noise and emissions) are seldom calculated in an integrated way (Wismans et al, 2013).…”

Section: Previous Work On Eco-assignmentmentioning

confidence: 99%

“…It is not part of the scope of this paper to conduct an integrated review of these methodologies. However, comprehensive review works on this matter such as (Wismans et al, 2011) for integrated externalities platforms; (Hughes et al, 2015) for road safety (Smit et al, 2008) for pollutant emissions and (Garg and Maji, 2014;Guarnaccia, 2013) for traffic noise can be found.…”

Section: Previous Work On Eco-assignmentmentioning

confidence: 99%

Advanced Impact Integration Platform for Cooperative Road Use

et al. 2016

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In order to improve networks efficiency, a considerable number of studies has been addressing the potential of eco-friendly assignment solutions as alternative approaches to reduce emissions and/or fuel use. So far the majority of studies generally assumes that the most eco-friendly solutions are the ones that minimize the absolute amount of emissions produced along a certain trip. In this work a platform based on both empirical GPS data and microscopic simulation models of traffic, emissions, noise, and road safety was developed to examine in depth 4 routes of an origindestination pair over a Portuguese city. In addition to the integrated externalities assessment based on state of the art techniques, a novelty of this work was the preliminary inclusion of social criteria in defining sustainable assignment solutions. This paper provides new insights about sustainable traffic management issues and addresses multiple novel route choice indicators. Specifically we found that the relative variation of the individual costs and total pollution produced among 4 routes varies to a factor of 1.4 while the variation of the potentially exposed population ranges up to a factor of 10. The main results confirm the need to take into account real-time urban activity patterns in order to effectively implement sustainable traffic management measures.

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“…Motivations behind modelling are as numerous as the challenges, and include such factors as improving inefficiencies in networks and examining the potential traffic impacts of changes to infrastructure (Brö mmelstroet & Bertolini, 2011;Gudmundsson, 2011), exploring socio-economic effects of transport (Wismans, Van Berkum, & Bliemer, 2011), understanding supply and demand for transport (Proost & Van Dender, 2011), as well as modelling air quality and emissions Samaras et al, 2012). The scale of transport modelling is also wide-ranging, from the micro-level modelling of a single intersection, or local road network, to the global transport system.…”

Section: Introductionmentioning

confidence: 99%

Approaches and Techniques for Modelling CO₂Emissions from Road Transport

2015

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Transport accounts for around a quarter of CO 2 emissions globally. Transport modelling provides a useful means to explore the dynamics, scale and magnitude of transport-related emissions. This paper explores the modelling tools available for analysing the emissions of CO 2 from transport. Covering a range of techniques from transport microsimulation to global techno-economic models, this review provides insights into the various advantages and shortcomings of these tools. The paper also examines the value of having a broad range of perspectives for analysing emissions from transport. The paper concludes by suggesting that the broad range of models creates a rich environment for exploring a spectrum of policy questions around the emissions from transport, and the potential for combining modelling approaches further enhances the understanding that can be attained.

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Modelling Externalities using Dynamic Traffic Assignment Models: A Review

Cited by 28 publications

References 47 publications

Comparison of evolutionary multi objective algorithms for the dynamic network design problem

Comparison of evolutionary multi objective algorithms for the dynamic network design problem

Advanced Impact Integration Platform for Cooperative Road Use

Approaches and Techniques for Modelling CO₂Emissions from Road Transport

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Modelling Externalities using Dynamic Traffic Assignment Models: A Review

Cited by 28 publications

References 47 publications

Comparison of evolutionary multi objective algorithms for the dynamic network design problem

Comparison of evolutionary multi objective algorithms for the dynamic network design problem

Advanced Impact Integration Platform for Cooperative Road Use

Approaches and Techniques for Modelling CO2Emissions from Road Transport

Contact Info

Product

Resources

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Approaches and Techniques for Modelling CO₂Emissions from Road Transport