Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management

Faboya, Olusola; Figueredo, Grazziela P.; Ryan, Brendan; Siebers, Peer-Olaf

Abstract

The uneven utilisation of modes of transport has a big impact on traffic in transport pathway infrastrutures. For motor vehicles for instance, this situation explains rapid road deterioration and the large amounts of money invested in maintenance and development due to overuse. There are many approaches to managing this problem; however, the impact of individual users in infrastructural maintenance is mostly ignored. In this position paper, we hypothesise that important changes torwards a more efficient use of the transport network start with its users and their behavioural changes. To this end, we introduce our vision on how to employ data driven, intelligent agent-based modelling, incorporating human factors aspects, as a toolset to understand travellers and to stimulate behavioural changes. The aim is to achieve better balanced and integrated mobility usage within the transport network. The idea is explored with a few guided questions, and a methodology is proposed. We employ 1) cognitive work analysis to investigate the reasons for travellers’ mode choice; 2) computational intelligence to extract and represent knowledge from related datasets; 3) agent-based modelling to represent the real-world and to observe both individual and emergent behaviours. Future directions to adapt our methodology to alternative smart mobility projects are also discussed.

Citation

Faboya, O., Figueredo, G. P., Ryan, B., & Siebers, P.-O. (2018, November). Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management. Presented at The 21st IEEE International Conference on Intelligent Transportation Systems, Maui, Hawaii, USA

• Presentation Conference Type: Edited Proceedings
• Conference Name: The 21st IEEE International Conference on Intelligent Transportation Systems
• Start Date: Nov 4, 2018
• End Date: Nov 7, 2018
• Acceptance Date: Jul 25, 2018
• Online Publication Date: Dec 9, 2018
• Publication Date: Dec 7, 2018
• Deposit Date: Nov 26, 2018
• Publicly Available Date: Nov 27, 2018
• Pages: 144-149
• Series ISSN: 2153-0017
• Book Title: The 21st IEEE International Conference on Intelligent Transportation Systems
• ISBN: 978-1-7281-0324-2
• DOI: https://doi.org/10.1109/ITSC.2018.8569946
• Public URL: https://nottingham-repository.worktribe.com/output/1049463
• Publisher URL: https://ieeexplore.ieee.org/document/8569946
• Related Public URLs: https://www.ieee-itsc2018.org/
• Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
• Contract Date: Nov 26, 2018