ElBanhawy, Eiman and Dalton, Ruth (2013) Travel Demand Modelling Of Electric Mobility-Standpoints of Existing Approaches. In: 12th International Conference on GeoComputation, 23rd - 25th May 2013, Wuhan, China.
Full text not available from this repository.Abstract
In recent years enormous efforts have been made to reduce the polluting emissions created by road transport. Many developed countries through their leading counties and pioneering cities have started taking apt leaps towards sustainability aiming to have smart ecosystems. On a different note, researchers have looked at the usefulness of virtual spatial suites for exploring different social sciences phenomena as being a great catalyst for analyzing, forecasting and planning. Vehicular movement modeling is one of the most popular spatial models that deal with relevant aspects of urban regions and communities. This paper presents the bibliography of possible approaches to simulating travel demand models of electric vehicles-(EVs). It gives a broad overview of the altered standpoints of most likely used practices which were formerly utilized to predict vehicle network movements. It sheds light on the pros and cons of each approach with respect to simulating EVs-systems. Finally the paper discusses the authors' recommended approach, which fits more to the study context. The evaluation is based on a closer review of the literature and the conceptual model that has been developed using spatial configurational method. Observations shall clarify the rationale behind choosing such approach and the potential possibility of linking it with hybrid simulation techniques.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | H600 Electronic and Electrical Engineering K900 Others in Architecture, Building and Planning |
| Department: | Faculties > Engineering and Environment > Architecture and Built Environment |
| Related URLs: | |
| Depositing User: | Paul Burns |
| Date Deposited: | 19 Apr 2018 11:50 |
| Last Modified: | 11 Oct 2019 21:04 |
| URI: | http://nrl.northumbria.ac.uk/id/eprint/34031 |
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