DUE-STR: A Heuristic Extension Of The Selfless Traffic Routing Model Utilizing Dynamic User Equilibrium

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dc.contributorCheng, Albert M. K.
dc.contributorShattuck, David P.
dc.contributorRincon, Carlos
dc.contributor.authorCarroll, Thomas
dc.date.accessioned2022-07-11T14:27:04Z
dc.date.available2022-07-11T14:27:04Z
dc.date.issued2022-05-05
dc.description.abstractRouting vehicles through a traffic network such as a modern-day city has been a much- studied topic, with routing algorithms such as Dynamic User Equilibrium (DUE) having been well documented. The focus of many such works has been on the optimization of average travel time through traffic networks aiming for the more efficient routing of vehicles. In this thesis, we outline our plans for routing to satisfy arrival deadlines, where vehicles are routed with the primary objective of getting somewhere on time. We consider vehicle routing through a smaller section of a city, known as a traffic sub-network, using a centralized scheme as a guiding traffic assignment agent. We introduce our preliminary implementation of a routing algorithm built on the Selfless Traffic Routing (STR) model and Dynamic User Equilibrium (DUE) to show the viability of such a scheme on a traffic network. We present our experimental results from running this scheme on a real-world traffic network. We consider a pre-vehicle movement rerouting scheme capable of being competitive against more informative real-time models. We evaluate DUE-STR and these models using the number of arrival-deadline misses and the average travel time performance metrics for vehicles. We find mixed results between DUE-STR and other models, with our DUE- STR model mostly having better results when considering deadline misses and mostly having worse results when considering average vehicle travel time. We explore reasons why the results may not be quite as good as well as potential solutions to solve these issues.
dc.description.departmentComputer Science, Department of
dc.description.departmentHonors College
dc.identifier.citationPortions of this document appear in: T. Carroll, A. M. K. Cheng and G. Dai, "Work In Progress: A Solution Based on Dynamic User Equilibrium Toward the Selfless Traffic Routing Model," in IEEE 28th Real-Time and Embedded Technology and Applications Symposium (RTAS), Milano, 2022. © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.identifier.urihttps://hdl.handle.net/10657/10508
dc.language.isoen
dc.relation.ispartofSenior Honors Theses
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. UH Libraries has secured permission to reproduce any and all previously published materials contained in the work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectTraffic Routing
dc.subjectSelfless model
dc.subjectReal-Time
dc.subjectEquilibrium
dc.titleDUE-STR: A Heuristic Extension Of The Selfless Traffic Routing Model Utilizing Dynamic User Equilibrium
dc.typeHonors Thesis
dc.type.dcmiText
thesis.degree.collegeCollege of Natural Sciences and Mathematics
thesis.degree.levelBachelors
thesis.degree.nameBachelor of Science

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