NDLI: Taxi dispatch with real-time sensing data in metropolitan areas: a receding horizon control approach

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Taxi dispatch with real-time sensing data in metropolitan areas: a receding horizon control approach

Content Provider	ACM Digital Library
Author	Zhang, Desheng Lin, Shan He, Tian Munir, Sirajum Miao, Fei Pappas, George J. Stankovic, John A. Huang, Hua
Abstract	Traditional transportation systems in metropolitan areas often suffer from inefficiencies due to uncoordinated actions as system capacity and traffic demand change. With the pervasive deployment of networked sensors in modern vehicles, large amounts of information regarding traffic demand and system status can be collected in real-time. This information provides opportunities to perform various types of control and coordination for large scale intelligent transportation systems. In this paper, we present a novel receding horizon control (RHC) framework to dispatch taxis, which combines highly spatiotemporally correlated demand/supply models and real-time GPS location and occupancy information. The objectives include reducing taxi idle driving distance and matching spatiotemporal ratio between demand and supply for service quality. Moreover, our RHC framework is compatible with different predictive models and optimization problem formulations. This compatibility property allows us to model disruptive passenger demands and traffic conditions into a robust optimization problem. Extensive trace driven analysis with a real taxi data set from San Francisco shows that our solution reduces the average total idle distance by 52%, and reduces the total supply demand ratio error across the city by up to 45%.
Starting Page	100
Ending Page	109
Page Count	10
File Format	PDF
ISBN	9781450334556
DOI	10.1145/2735960.2735961
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-04-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Receding horizon control Real-time taxi dispatch Service fairness Intelligent transportation system Idle mileage
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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