de Almeida Araujo Vital, Filipe (Independent Researcher), Ioannou, Petros (University of Southern California)

Parking Costs and Long-Haul Truck Parking Demand

Scheduled for presentation during the Poster Session "Vehicle routing" (WeAT15), Wednesday, September 25, 2024, 10:30−12:30, Foyer

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on December 26, 2024

Abstract

Truck parking shortage is currently one of the trucking industry's main issues. The lack of adequate rest locations for long-haul truck drivers can lower driver productivity, and increase accident risk, operational costs and carbon emissions. In this paper, we model the behavior of a region's driver population and study how parking demand can be estimated and influenced. We introduce a variant of the TDSP (Truck Driver Scheduling Problem) mixed-integer programming model which tracks parking usage by dividing time into time-slots and charging drivers per time slot. We then propose a non-cooperative game formulation using the TDSP variant to model individual driver behavior, with agent interaction happening through penalty functions dependent on parking occupancy. Finally, we use computational experiments to illustrate how the TDSP variant can be used to estimate parking demand across a route, as well as to simulate drivers' expected reaction to parking cost changes.