EURO 2024 Copenhagen
Abstract Submission

EURO-Online login

3526. Traffic rerouting under uncertainty

Invited abstract in session WD-55: Supply Chain Network Optimization, stream Transportation.

Wednesday, 14:30-16:00
Room: S02 (building: 101)

Authors (first author is the speaker)

1. Oskar Eikenbroek
Transport Engineering and Management, University of Twente
2. Ricardo de la Paz Guala
Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile

Abstract

Travel demand management measures providing personalized route advice to receptive road users are potentially powerful in redistributing traffic for the benefit of network performance, typically expressed using indicators on efficiency, safety, emissions and equity. With the well-known trade-off between individual and societal objectives, system-beneficial route advice may involve a detour compared to the habitual choice. Sustained effects however can only be achieved if travelers (incidentally) comply with such advice. Real-world experiments show that travelers can be persuaded or nudged to do so provided that the suggested detour is bounded and acceptable. Determining the system optimal advice while meeting user constraints is a difficult task since travel times depend on the compliance and the potential re-routing behavior of all travelers, which are subject to uncertainty when the advice is given. In this research, we formulate an optimization problem with equilibrium constraints determining the best possible advice in terms of network performance while explicitly accounting for compliance rates, different perceptions of road users and variations in travel times. We use techniques from variational analysis to develop a numerical method to solve the problem. Results reveal that it is key to account for uncertainties in travel times to prevent negative experiences with social route advice and to assure that intended effects are achieved.

Keywords

Status: accepted

Back to the list of papers