Optimization of Ride Sharing Systems Using Event-driven Receding Horizon Control

Fuente: arXiv
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Hauptverfasser: Chen, Rui, Cassandras, Christos G.
Format: Preprint
Veröffentlicht: 2019
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author Chen, Rui
Cassandras, Christos G.
author_facet Chen, Rui
Cassandras, Christos G.
contents We develop an event-driven Receding Horizon Control (RHC) scheme for a Ride Sharing System (RSS) in a transportation network where vehicles are shared to pick up and drop off passengers so as to minimize a weighted sum of passenger waiting and traveling times. The RSS is modeled as a discrete event system and the event-driven nature of the controller significantly reduces the complexity of the vehicle assignment problem, thus enabling its real-time implementation. Simulation results using actual city maps and real taxi traffic data illustrate the effectiveness of the RH controller in terms of real-time implementation and performance relative to known greedy heuristics.
format Preprint
id arxiv_https___arxiv_org_abs_1901_01919
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Optimization of Ride Sharing Systems Using Event-driven Receding Horizon Control
Chen, Rui
Cassandras, Christos G.
Systems and Control
We develop an event-driven Receding Horizon Control (RHC) scheme for a Ride Sharing System (RSS) in a transportation network where vehicles are shared to pick up and drop off passengers so as to minimize a weighted sum of passenger waiting and traveling times. The RSS is modeled as a discrete event system and the event-driven nature of the controller significantly reduces the complexity of the vehicle assignment problem, thus enabling its real-time implementation. Simulation results using actual city maps and real taxi traffic data illustrate the effectiveness of the RH controller in terms of real-time implementation and performance relative to known greedy heuristics.
title Optimization of Ride Sharing Systems Using Event-driven Receding Horizon Control
topic Systems and Control
url https://arxiv.org/abs/1901.01919