Connected Emission Control Technologies for Freight Vehicles [supporting datasets]

University Transportation Centers Programhttps://doi.org/10.6086/D1PT0J2020PDFDatasetBoriboonsomsin, KanokLuo, JiWang, ChaoBarth, MatthewMETRANS Transportation Center (Calif.)University of Southern California, Los AngelesUnited States. Department of Transportation. Office of the Assistant Secretary for Research and TechnologyUnited States. Department of Transportation. University Transportation Centers (UTC) ProgramUniversity of California, Riverside. Center for Environmental Research and TechnologyPacific Southwest Region University Transportation Center (UTC)CaliforniaUnited StatesAir quality managementAlgorithmsConnected vehiclesDiesel trucksEngine tuningEnvironmental justiceExhaust gasesPollutantsResidential areasRoutingTraffic modelsTrucksEmission control systemsEnvironmental impactsHeavy duty trucksPublic healthUCR-17-10USDOT Grant 69A3551747109This project explores how connected vehicle technology can be used to reduce the impacts of air pollutant emissions from freight vehicles. Specifically, the objective of this project is to develop new vehicle routing algorithms for determining travel routes for heavy-duty diesel trucks that would reduce the exposure of local residents to air pollutant emissions from these trucks. The core of the methodology is to first estimate the total amount of human exposure to pollutant emissions generated by a truck when that truck travels on a particular road segment. Once this is performed for all road segments, the estimated exposure value can be used in a least cost path algorithm to find a travel route that would minimize the total exposure value for the trip. To evaluate the potential benefits of this air pollution mitigation strategy, simulation-based experiments were carried out using the Reseda-Northridge area of Southern California as a case study. Overall, it was found that as compared to the fastest route, the low exposure route could result in more than 30% reduction in total air pollutant exposure for about 40% of the 400 simulated trips while keeping the increase in trip travel time to no more than 10%.127