Hybrid-OD matrix based simulation approach to identify e-charging hotspots in transport network

ElBanhawy, Eiman, Dalton, Ruth, Shankar, Venky N. and Warith, Karim A. Abdel (2014) Hybrid-OD matrix based simulation approach to identify e-charging hotspots in transport network. In: ITEC 2014 - IEEE Transportation Electrification Conference and Expo: Components, Systems, and Power Electronics - From Technology to Business and Public Policy, 15th - 18th June 2014, Detroit, USA.

Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/10.1109/ITEC.2014.6861788

Abstract

The use of bottom up approach simulation in transportation provides a rich framework for behaviours to emerge through interactions. The agent based modeling is a modeling technique that takes into account the attributes, constraints and variables imposed by the agent and the environment. Focusing on a alternative means of transport and in particular electric vehicles, this paper is taking place. The study proposes an integrated approach to identify electric charging hotspots in urban areas. It investigates coupling travel demand modeling to multi-model simulation technique. This is conducted through a case study; trip distribution and traffic data is provided for the given urban area. Socioeconomic and technical fundamentals of the EV system are addressed to shed light on the possibility of having integrated interactive design configurations of EV system in metropolitan areas. The outcome of the study can potentially be used in planning for future e-mobility.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Agent based modeling; Comfort zone; Electric vehicle; Hybrid simulation
Subjects: K900 Others in Architecture, Building and Planning
Department: Faculties > Engineering and Environment > Architecture and Built Environment
Depositing User: Paul Burns
Date Deposited: 11 Dec 2014 15:51
Last Modified: 12 Oct 2019 22:13
URI: http://nrl.northumbria.ac.uk/id/eprint/18479

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics