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A Survey on Urban Traffic Optimisation for Sustainable and Resilient Transportation Network

Koh, SS and Zhou, B and Yang, P and Yang, Z (2017) A Survey on Urban Traffic Optimisation for Sustainable and Resilient Transportation Network. In: Developments in eSystems Engineering (DeSE) . (9th International Conference on Developments in eSystems Engineering (DeSE), 31 August 2016 - 02 September 2016, Liverpool, UK).

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Abstract

Nowadays, sustainability and resilience have become a major consideration that cannot be neglected in urban development. People are starting to consider utilizing the urban infrastructure environment to maintain and improve the functionality and availability of the urban system when unexpected events take place. Traffic congestion is always a major issue in urban planning, especially when the vehicles in the roadway keep growing and the local authorities are lack of solutions to manage or distribute the traffics in the city. It has huge impact on urban sustainability and resilience such as overload of the city’s infrastructure, and air pollution, etc. This paper presents a survey on the challenges of developing sustainable and resilient transportation networks and the current urban traffic optimisation methods, as a possible solution to address such challenges. It aims to describe and define the state of the art on the research on sustainable and resilient transportation networks in urban development and a taxonomy of different traffic optimisation methods used for avoiding traffic congestion and improve urban traffic management.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Urban Development; Traffic Congestion; Sustainable and Resilient Transportation Network
Subjects: H Social Sciences > HE Transportation and Communications
T Technology > TE Highway engineering. Roads and pavements
T Technology > TF Railroad engineering and operation
Divisions: Computer Science
Maritime and Mechanical Engineering
Publisher: IEEE
Date Deposited: 08 Nov 2016 12:20
Last Modified: 11 Aug 2017 09:29
DOI or Identification number: 10.1109/DeSE.2016.38
URI: http://researchonline.ljmu.ac.uk/id/eprint/4278

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