Home > Research > Publications & Outputs > Hybrid-OD matrix based simulation approach to i...

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Hybrid-OD matrix based simulation approach to identify e-charging hotspots in transport network. / El-Banhawy, Eiman; Dalton, Ruth; Shankar, Venky N. et al.
2014 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE, 2014.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

El-Banhawy, E, Dalton, R, Shankar, VN & Warith, KAA 2014, Hybrid-OD matrix based simulation approach to identify e-charging hotspots in transport network. in 2014 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE. https://doi.org/10.1109/ITEC.2014.6861788

APA

El-Banhawy, E., Dalton, R., Shankar, V. N., & Warith, K. A. A. (2014). Hybrid-OD matrix based simulation approach to identify e-charging hotspots in transport network. In 2014 IEEE Transportation Electrification Conference and Expo (ITEC) IEEE. https://doi.org/10.1109/ITEC.2014.6861788

Vancouver

El-Banhawy E, Dalton R, Shankar VN, Warith KAA. Hybrid-OD matrix based simulation approach to identify e-charging hotspots in transport network. In 2014 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE. 2014 doi: 10.1109/ITEC.2014.6861788

Author

El-Banhawy, Eiman ; Dalton, Ruth ; Shankar, Venky N. et al. / Hybrid-OD matrix based simulation approach to identify e-charging hotspots in transport network. 2014 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE, 2014.

Bibtex

@inproceedings{bd112ea1564640dda274221ae67c4ba6,
title = "Hybrid-OD matrix based simulation approach to identify e-charging hotspots in transport network",
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.",
keywords = "Agent based modeling, Comfort zone, Electric vehicle, Hybrid simulation",
author = "Eiman El-Banhawy and Ruth Dalton and Shankar, {Venky N.} and Warith, {Karim A. Abdel}",
year = "2014",
month = jul,
day = "21",
doi = "10.1109/ITEC.2014.6861788",
language = "English",
booktitle = "2014 IEEE Transportation Electrification Conference and Expo (ITEC)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Hybrid-OD matrix based simulation approach to identify e-charging hotspots in transport network

AU - El-Banhawy, Eiman

AU - Dalton, Ruth

AU - Shankar, Venky N.

AU - Warith, Karim A. Abdel

PY - 2014/7/21

Y1 - 2014/7/21

N2 - 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.

AB - 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.

KW - Agent based modeling

KW - Comfort zone

KW - Electric vehicle

KW - Hybrid simulation

U2 - 10.1109/ITEC.2014.6861788

DO - 10.1109/ITEC.2014.6861788

M3 - Conference contribution/Paper

BT - 2014 IEEE Transportation Electrification Conference and Expo (ITEC)

PB - IEEE

ER -