A Truck Routing Model to Reduce Fuel Consumption and Emissions while Accounting for Parking Availability and Working Hours Constraints

Filipe Vital and Petros Ioannou

Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis

Abstract: The transportation sector is responsible for 28% of US greenhouse emissions, with a considerable amount being generated by medium- and heavy-duty trucks. Multiple strategies will be needed to improve efficiency and reduce carbon dioxide (CO2) emissions in the trucking industry. Researchers at the University of Southern California developed a truck routing model that minimizes fuel consumption and reduces emissions while explicitly accounting for parking availability and hours-of-service constraints. The researchers used the model to test various scenarios that reflect the practical constraints faced by drivers. View the NCST Project Webpage

Keywords: Engineering; Hours of Service Regulations; Truck Driver Scheduling; Fuel Consumption Optimization; Parking-aware Planning (search for similar items in EconPapers)
Date: 2022-03-01
New Economics Papers: this item is included in nep-ene, nep-env and nep-tre
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