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The Agent Based Modeling of e-mobility

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The Agent Based Modeling of e-mobility. / El-Banhawy, Eiman; Dalton, Ruth; Anumba, Chimay.
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 & Anumba, C 2014, The Agent Based Modeling of e-mobility. in 2014 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE. https://doi.org/10.1109/ITEC.2014.6861791

APA

El-Banhawy, E., Dalton, R., & Anumba, C. (2014). The Agent Based Modeling of e-mobility. In 2014 IEEE Transportation Electrification Conference and Expo (ITEC) IEEE. https://doi.org/10.1109/ITEC.2014.6861791

Vancouver

El-Banhawy E, Dalton R, Anumba C. The Agent Based Modeling of e-mobility. In 2014 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE. 2014 doi: 10.1109/ITEC.2014.6861791

Author

El-Banhawy, Eiman ; Dalton, Ruth ; Anumba, Chimay. / The Agent Based Modeling of e-mobility. 2014 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE, 2014.

Bibtex

@inproceedings{e920795bdcc748e88a544c5409e69981,
title = "The Agent Based Modeling of e-mobility",
abstract = "Capturing vehicular travel behaviour is one of the most popular models that deal with relevant aspects of urban regions and communities. A borrowed simulation technique used in social systems is employed where representing dynamic behaviour of Electric Vehicle real-time system. The simulation approach taken is to model the vehicle and network using procedural and declarative logic in order to simplify the overall system level computational complexity, and also to capture the behaviour of the driver's battery charging decisions. It aims at providing a model that can spot the gaps in the infrastructure network hence evaluate the network reliability. This article explores a promising experimental approach so as to assist in the design phase of EV charging network. A simplified hypothetical-urban-diagram is proposed showing all key theories needed. This article works as a glossary that covers the math behind modeling an EV system. It goes through the interactions and messaging protocol which are taking place in the simulation environment, simulation paragon, the agent architecture. The present study targets social scientists, policy makers and planning authorities, who are concerned with the EVs hard and soft infrastructure.",
author = "Eiman El-Banhawy and Ruth Dalton and Chimay Anumba",
note = "Transportation Electrification Conference and Expo (ITEC), 2014 IEEE ; Conference date: 15-06-2014",
year = "2014",
month = jun,
day = "15",
doi = "10.1109/ITEC.2014.6861791",
language = "English",
isbn = "9781479922628",
booktitle = "2014 IEEE Transportation Electrification Conference and Expo (ITEC)",
publisher = "IEEE",

}

RIS

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T1 - The Agent Based Modeling of e-mobility

AU - El-Banhawy, Eiman

AU - Dalton, Ruth

AU - Anumba, Chimay

N1 - Transportation Electrification Conference and Expo (ITEC), 2014 IEEE ; Conference date: 15-06-2014

PY - 2014/6/15

Y1 - 2014/6/15

N2 - Capturing vehicular travel behaviour is one of the most popular models that deal with relevant aspects of urban regions and communities. A borrowed simulation technique used in social systems is employed where representing dynamic behaviour of Electric Vehicle real-time system. The simulation approach taken is to model the vehicle and network using procedural and declarative logic in order to simplify the overall system level computational complexity, and also to capture the behaviour of the driver's battery charging decisions. It aims at providing a model that can spot the gaps in the infrastructure network hence evaluate the network reliability. This article explores a promising experimental approach so as to assist in the design phase of EV charging network. A simplified hypothetical-urban-diagram is proposed showing all key theories needed. This article works as a glossary that covers the math behind modeling an EV system. It goes through the interactions and messaging protocol which are taking place in the simulation environment, simulation paragon, the agent architecture. The present study targets social scientists, policy makers and planning authorities, who are concerned with the EVs hard and soft infrastructure.

AB - Capturing vehicular travel behaviour is one of the most popular models that deal with relevant aspects of urban regions and communities. A borrowed simulation technique used in social systems is employed where representing dynamic behaviour of Electric Vehicle real-time system. The simulation approach taken is to model the vehicle and network using procedural and declarative logic in order to simplify the overall system level computational complexity, and also to capture the behaviour of the driver's battery charging decisions. It aims at providing a model that can spot the gaps in the infrastructure network hence evaluate the network reliability. This article explores a promising experimental approach so as to assist in the design phase of EV charging network. A simplified hypothetical-urban-diagram is proposed showing all key theories needed. This article works as a glossary that covers the math behind modeling an EV system. It goes through the interactions and messaging protocol which are taking place in the simulation environment, simulation paragon, the agent architecture. The present study targets social scientists, policy makers and planning authorities, who are concerned with the EVs hard and soft infrastructure.

U2 - 10.1109/ITEC.2014.6861791

DO - 10.1109/ITEC.2014.6861791

M3 - Conference contribution/Paper

SN - 9781479922628

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

PB - IEEE

ER -