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Multi-modal traffic assignment with traffic emission effects

Multi-modal traffic assignment with traffic emission effects

Meng, Meng ORCID logoORCID: https://orcid.org/0000-0001-7240-6454, Shao, Chunfu, Wong, Yiik Diew and Zhang, Jie (2015) Multi-modal traffic assignment with traffic emission effects. Proceedings of the Institution of Civil Engineers - Engineering Sustainability, 169 (ES3). pp. 114-122. ISSN 1478-4629 (Print), 1751-7680 (Online) (doi:10.1680/jensu.14.00046)

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Abstract

Traffic emissions are one of the most serious issues that affect urban sustainable development. Due to the heavy pollution from cars, public transport, including electric bicycles, has been regaining its proper position. A multimodal traffic equilibrium model with emission effects (MTEEE) is presented that considers energy use per person and pollutant emissions. MTEEE is based on a general traffic equilibrium model which jointly reduces congestion and emissions in a multimodal transportation network. Aiming for control of the total amount of carbon dioxide and limiting the link concentration of carbon dioxide, the model is expressed as a mathematical programming problem by combining the concept of environmental capacity with traffic capacity as constraints. The proposed MTEEE model is solved by a particle swarm optimisation (PSO) algorithm. Two experiments are conducted to demonstrate the effectiveness of the proposed model and the convergence properties of the PSO algorithm.

Item Type: Article
Additional Information: Themed issue on facilitating active travel – part II
Uncontrolled Keywords: environment; sustainability; transport planning
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Faculty / School / Research Centre / Research Group: Faculty of Business
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group
Faculty of Business > Department of Systems Management & Strategy
Last Modified: 11 Feb 2019 17:34
URI: http://gala.gre.ac.uk/id/eprint/22702

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