research-article

Dynamic Taxi Ride Sharing using Localized Communication

Authors:

Vaskar Raychoudhury,

Shrawani SilwalAuthors Info & Claims

ICDCN '20: Proceedings of the 21st International Conference on Distributed Computing and Networking

Article No.: 13, Pages 1 - 10

https://doi.org/10.1145/3369740.3369776

Published: 19 February 2020 Publication History

Abstract

With the rise of on-demand taxi services, like Uber, Lyft, etc., urban public transportation started to heavily depend on taxicabs. While increasing demand leads to passenger stranding, higher supply may result in traffic congestion. In order to strike a balance ride sharing plays an important role. However, scheduling a ride on-the-fly is extremely challenging and more so with increasing number of passengers. It is non-trivial to find a driving route for the taxi accommodating multiple passengers without extending their journey time beyond a pre-specified tolerance value. The spatiotemporal separation of passengers and high mobility of taxis even more complicates shared ride scheduling. Existing distributed ride sharing solutions failed to address the extremely dynamic nature of the underlying topology where taxis are continuously moving and hence, results in message loss. In this paper, we have proposed a purely distributed ride sharing algorithm aimed at addressing the dynamics of taxi topology using asynchronous localized communication between passengers and taxis. Empirical analysis using large scale single-user taxi ride records from Chicago, show that, our proposed algorithm, ensures a maximum of 76% success in ride sharing and a 97.5% taxi occupancy rate during peak operating hours.

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Cited By

Meshkani SFarazmand SBouguila NPatterson Z(2024)Innovative On-Demand Transit for First-Mile Trips: A Cutting-Edge ApproachTransportation Research Record: Journal of the Transportation Research Board10.1177/036119812412399702678:11(122-136)Online publication date: 20-May-2024
https://doi.org/10.1177/03611981241239970
Meshkani SFarooq B(2023)Centralized and decentralized algorithms for two-to-one matching problem in ridehailing systemsEURO Journal on Transportation and Logistics10.1016/j.ejtl.2023.10010612(100106)Online publication date: 2023
https://doi.org/10.1016/j.ejtl.2023.100106
Mary A(2022)An Optimized technique for a Sapid Motor pooling Tariff Forecasting System2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)10.1109/ICEEICT53079.2022.9768573(1-4)Online publication date: 16-Feb-2022
https://doi.org/10.1109/ICEEICT53079.2022.9768573
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Index Terms

Dynamic Taxi Ride Sharing using Localized Communication
1. Computing methodologies
  1. Distributed computing methodologies
    1. Distributed algorithms
  2. Modeling and simulation
    1. Simulation types and techniques
      1. Distributed simulation
2. Theory of computation
  1. Design and analysis of algorithms
    1. Approximation algorithms analysis
      1. Scheduling algorithms

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cover image ACM Other conferences

ICDCN '20: Proceedings of the 21st International Conference on Distributed Computing and Networking

January 2020

460 pages

ISBN:9781450377515

DOI:10.1145/3369740

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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ACM: Association for Computing Machinery
Jadavpur University: Jadavpur University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 February 2020

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ICDCN 2020

ICDCN 2020: 21st International Conference on Distributed Computing and Networking

January 4 - 7, 2020

Kolkata, India

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Cited By

Meshkani SFarazmand SBouguila NPatterson Z(2024)Innovative On-Demand Transit for First-Mile Trips: A Cutting-Edge ApproachTransportation Research Record: Journal of the Transportation Research Board10.1177/036119812412399702678:11(122-136)Online publication date: 20-May-2024
https://doi.org/10.1177/03611981241239970
Meshkani SFarooq B(2023)Centralized and decentralized algorithms for two-to-one matching problem in ridehailing systemsEURO Journal on Transportation and Logistics10.1016/j.ejtl.2023.10010612(100106)Online publication date: 2023
https://doi.org/10.1016/j.ejtl.2023.100106
Mary A(2022)An Optimized technique for a Sapid Motor pooling Tariff Forecasting System2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)10.1109/ICEEICT53079.2022.9768573(1-4)Online publication date: 16-Feb-2022
https://doi.org/10.1109/ICEEICT53079.2022.9768573
Agrawal KAggarwal MTanwar SSharma GBokoro PSharma R(2022)An Extensive Blockchain Based Applications Survey: Tools, Frameworks, Opportunities, Challenges and SolutionsIEEE Access10.1109/ACCESS.2022.321916010(116858-116906)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3219160
Golpayegani FGueriau MLaharotte PGhanadbashi SGuo JGeraghty JWang S(2022)Intelligent Shared Mobility Systems: A Survey on Whole System Design Requirements, Challenges and Future DirectionIEEE Access10.1109/ACCESS.2022.316284810(35302-35320)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3162848
Yu HRaychoudhury VSaha S(2022)Dynamic Taxi Ride-Sharing Through Adaptive Request Propagation Using Regional Taxi Demand and SupplyMobile and Ubiquitous Systems: Computing, Networking and Services10.1007/978-3-030-94822-1_3(40-56)Online publication date: 8-Feb-2022
https://doi.org/10.1007/978-3-030-94822-1_3
Katarya R(2022)Towards the significance of taxi recommender systems in smart citiesConcurrency and Computation: Practice and Experience10.1002/cpe.747535:2Online publication date: 4-Nov-2022
https://doi.org/10.1002/cpe.7475

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