Learning Drivers’ Utility Functions in a Coordinated Freight Routing System Based on Drivers’ Actions
Petros Ioannou and
Zheyu Wang
Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis
Abstract:
As urban areas grow and city populations expand, traffic congestion has become a significant problem, particularly in regions with substantial truck traffic. This study presents a coordinated freight routing system designed to optimize network utility and reduce congestion through personalized routing guidance and incentive mechanisms. The system customizes incentives and payments for individual drivers based on current traffic conditions and their specific routing preferences. Using a mixed logit model with a linear utility specification, the system captures drivers' route choice behaviors and decisions accurately. Participation is voluntary, ensuring most drivers receive a combined expected utility, including incentives, exceeding their anticipated utility under User Equilibrium (UE). This structure encourages drivers to follow suggested routes. Data collection on drivers' routing choices allows the system to update utility parameter estimates using a hierarchical Bayes estimator, ensuring routing suggestions remain relevant and effective. The system operates over defined intervals, where truck drivers submit their intended Origin-Destination (OD) pairs to a central coordinator. The coordinator assigns routes and payments, optimizing overall system costs and offering tailored incentives to maximize compliance. Experimental results on the Sioux Falls network validate the system's effectiveness, showing significant improvements in the objective function. This study highlights the potential of a coordinated routing system to enhance urban traffic efficiency by dynamically adjusting incentives based on drivers’ choice data and driver behavior. View the NCST Project Webpage
Keywords: Engineering; Social and Behavioral Sciences; Congestion management systems; Freight traffic; Incentives; Logits; Route choice; Routes and routing; Truck drivers (search for similar items in EconPapers)
Date: 2024-08-01
New Economics Papers: this item is included in nep-dcm, nep-tre, nep-upt and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.escholarship.org/uc/item/6qb516n9.pdf;origin=repeccitec (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cdl:itsdav:qt6qb516n9
Access Statistics for this paper
More papers in Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().