Integrating a Mode Choice Model into Agent-Based Simulation for Freight Transport Planning and Decarbonization Analysis

Senlei Wang; Dhanan Sarwo Utomo; Philip Greening

doi:10.1109/WSC60868.2023.10407631

Integrating a Mode Choice Model into Agent-Based Simulation for Freight Transport Planning and Decarbonization Analysis

Senlei Wang, Dhanan Sarwo Utomo, Philip Greening

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents a framework for integrating a discrete mode choice model with agent-based simulation. The integrated framework provides a more realistic representation of long-haul freight transport and is applied to the real-world scenarios of moving freight from ports to inland destinations via road, rail, and inland waterways. It incorporates a mode choice component that captures demand shifts between modes in response to different policy and vehicle technology interventions. The objective is to investigate the financial and environmental impacts of introducing new vehicle technologies and associated energy sources under different future scenarios in a UK multimodal freight system.

Original language	English
Title of host publication	2023 Winter Simulation Conference (WSC)
Publisher	IEEE
Pages	1629-1640
Number of pages	12
ISBN (Electronic)	9798350369663
DOIs	https://doi.org/10.1109/WSC60868.2023.10407631
Publication status	Published - 31 Jan 2024
Event	2023 Winter Simulation Conference: Simulation for Resilient Systems - San Antonio Marriott Rivercenter, San Antonio, United States Duration: 10 Dec 2023 → 13 Dec 2023 http://meetings.informs.org/wordpress/wsc2023/

Conference

Conference	2023 Winter Simulation Conference
Abbreviated title	WASC
Country/Territory	United States
City	San Antonio
Period	10/12/23 → 13/12/23
Internet address	http://meetings.informs.org/wordpress/wsc2023/

Keywords

discrete mode choice model
agent-based simulation
Heavy goods vehicles

ASJC Scopus subject areas

Software
Computer Science Applications
Modelling and Simulation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/WSC60868.2023.10407631

Cite this

@inproceedings{053913e4047c4394828bc930c0133d93,

title = "Integrating a Mode Choice Model into Agent-Based Simulation for Freight Transport Planning and Decarbonization Analysis",

abstract = "This paper presents a framework for integrating a discrete mode choice model with agent-based simulation. The integrated framework provides a more realistic representation of long-haul freight transport and is applied to the real-world scenarios of moving freight from ports to inland destinations via road, rail, and inland waterways. It incorporates a mode choice component that captures demand shifts between modes in response to different policy and vehicle technology interventions. The objective is to investigate the financial and environmental impacts of introducing new vehicle technologies and associated energy sources under different future scenarios in a UK multimodal freight system.",

keywords = "discrete mode choice model, agent-based simulation, Heavy goods vehicles",

author = "Senlei Wang and Utomo, {Dhanan Sarwo} and Philip Greening",

year = "2024",

month = jan,

day = "31",

doi = "10.1109/WSC60868.2023.10407631",

language = "English",

pages = "1629--1640",

booktitle = "2023 Winter Simulation Conference (WSC)",

publisher = "IEEE",

address = "United States",

note = "2023 Winter Simulation Conference : Simulation for Resilient Systems, WASC ; Conference date: 10-12-2023 Through 13-12-2023",

url = "http://meetings.informs.org/wordpress/wsc2023/",

}

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T1 - Integrating a Mode Choice Model into Agent-Based Simulation for Freight Transport Planning and Decarbonization Analysis

AU - Wang, Senlei

AU - Utomo, Dhanan Sarwo

AU - Greening, Philip

PY - 2024/1/31

Y1 - 2024/1/31

N2 - This paper presents a framework for integrating a discrete mode choice model with agent-based simulation. The integrated framework provides a more realistic representation of long-haul freight transport and is applied to the real-world scenarios of moving freight from ports to inland destinations via road, rail, and inland waterways. It incorporates a mode choice component that captures demand shifts between modes in response to different policy and vehicle technology interventions. The objective is to investigate the financial and environmental impacts of introducing new vehicle technologies and associated energy sources under different future scenarios in a UK multimodal freight system.

AB - This paper presents a framework for integrating a discrete mode choice model with agent-based simulation. The integrated framework provides a more realistic representation of long-haul freight transport and is applied to the real-world scenarios of moving freight from ports to inland destinations via road, rail, and inland waterways. It incorporates a mode choice component that captures demand shifts between modes in response to different policy and vehicle technology interventions. The objective is to investigate the financial and environmental impacts of introducing new vehicle technologies and associated energy sources under different future scenarios in a UK multimodal freight system.

KW - discrete mode choice model

KW - agent-based simulation

KW - Heavy goods vehicles

UR - http://www.scopus.com/inward/record.url?scp=85185369874&partnerID=8YFLogxK

U2 - 10.1109/WSC60868.2023.10407631

DO - 10.1109/WSC60868.2023.10407631

M3 - Conference contribution

SP - 1629

EP - 1640

BT - 2023 Winter Simulation Conference (WSC)

PB - IEEE

T2 - 2023 Winter Simulation Conference

Y2 - 10 December 2023 through 13 December 2023

ER -

Integrating a Mode Choice Model into Agent-Based Simulation for Freight Transport Planning and Decarbonization Analysis

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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