Wang, S;
Utomo, D.S;
Greening, P;
(2024)
Integrating a Mode Choice Model into Agent-Based Simulation for Freight Transport Planning and Decarbonization Analysis.
In:
WSC '23: Proceedings of the Winter Simulation Conference.
(pp. pp. 1629-1640).
ACM
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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.
| Type: | Proceedings paper |
|---|---|
| Title: | Integrating a Mode Choice Model into Agent-Based Simulation for Freight Transport Planning and Decarbonization Analysis |
| Event: | 2023 Winter Simulation Conference (WSC) |
| Dates: | 10 Dec 2023 - 13 Dec 2023 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://dl.acm.org/doi/10.5555/3643142.3643276 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10188063 |
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