poster

Optimizing taxiing with detours by using traffic dynamics and driving habits

Authors:

Huihui Chen,

Bin Guo,

Zhiwen Yu,

Alvin Chin,

Chao ChenAuthors Info & Claims

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Pages 29 - 32

https://doi.org/10.1145/2968219.2971446

Published: 12 September 2016 Publication History

Get Access

Abstract

Traffic jams in cities decrease the efficiency of taxiing, thus lower the profit of per unit time of taxi drivers. This paper proposes an app running on drivers' smartphones that recommends detour routes in order to optimize the taxiing performance. We formulate the problem to maximize the profit of a driver with constraints on charging the passenger according to the normal route, and saving the taxiing time. Considering the driving habits, we propose a solution to search the optimal route based on the information of the traffic dynamics and fuel consumption estimation.

References

[1]

Chao Chen, Daqing Zhang, Pablo S. Castro, et al. 2013. iBOAT: Isolation-based On-line Anomalous Trajectory Detection. IEEE Trans. on Intelligent Transportation Systems, 14, 2: 806--818.

Digital Library

Google Scholar

[2]

Bin Guo, Zhu Wang, Zhiwen Yu, Yu Wang, et al. 2015. Mobile Crowd Sensing and Computing: The Review of an Emerging Human-Powered Sensing Paradigm, ACM Computing Surveys, 48, 1: 7.

Digital Library

Google Scholar

[3]

Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, et al. 2014. A cost-effective recommender system for taxi drivers. In Proc. of ACM KDD'14, 45--54.

Digital Library

Google Scholar

[4]

Jing Yuan, Yu Zheng, Liuhang Zhang, Xing Xie, Guangzhong Sun. 2011. Where to find my next passenger. In Proc. of ACM UbiComp'11, 109--118.

Digital Library

Google Scholar

Cited By

View all

Amores DTanin EVasardani M(2024)Flexible Paths: A Path Planning Approach to Dynamic NavigationIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.334349025:6(4795-4808)Online publication date: Jun-2024
https://doi.org/10.1109/TITS.2023.3343490
Chen HGuo BYu ZWang AZheng C(2020)The Framework of Increasing Drivers’ Income on the Online Taxi PlatformsIEEE Transactions on Network Science and Engineering10.1109/TNSE.2020.29929317:4(2182-2191)Online publication date: 1-Oct-2020
https://doi.org/10.1109/TNSE.2020.2992931
Zhou XRong HYang CZhang QKhezerlou AZheng HShafiq ZLiu A(2020)Optimizing Taxi Driver Profit Efficiency: A Spatial Network-Based Markov Decision Process ApproachIEEE Transactions on Big Data10.1109/TBDATA.2018.28755246:1(145-158)Online publication date: 1-Mar-2020
https://doi.org/10.1109/TBDATA.2018.2875524
Show More Cited By

Index Terms

Optimizing taxiing with detours by using traffic dynamics and driving habits
1. Human-centered computing

Recommendations

Numerical Analysis of Tractor Accidents using Driving Simulator for Autonomous Driving Tractor
ICMRE'19: Proceedings of the 5th International Conference on Mechatronics and Robotics Engineering

Autonomous driving of automobiles is a hot research topic in recent years. The autonomous driving tractor also has been studied in the agricultural field as well as an autonomous driving automobile. On the other hand, tractor accidents frequently occur ...
Driving Maneuvers Analysis Using Naturalistic Highway Driving Data
ITSC '15: Proceedings of the 2015 IEEE 18th International Conference on Intelligent Transportation Systems

Accounting about 70% of vehicle miles on roadways, highway driving is a critical issue in traffic safety deployment. Of the various maneuvers that comprise the highly complex driving task, each one requires understanding on the connections between ...
Velocity Optimization of Pure Electric Vehicles with Traffic Dynamics and Driving Safety Considerations

As Electric Vehicles (EVs) become increasingly popular, their battery-related problems (e.g., short driving range and heavy battery weight) must be resolved as soon as possible. Velocity optimization of EVs to minimize energy consumption in driving is ...

Comments

Information & Contributors

Information

Published In

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

September 2016

1807 pages

ISBN:9781450344623

DOI:10.1145/2968219

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
,
Antonio Krüger
DFKI and Saarland University
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics
,
Youn-Kyung Lim
KAIST
,
Shwetak N. Patel
University of Washington

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2016

Check for updates

Author Tags

Qualifiers

Poster

Conference

UbiComp '16

Sponsor:

UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 12 - 16, 2016

Germany, Heidelberg

Acceptance Rates

Overall Acceptance Rate 764 of 2,912 submissions, 26%

Upcoming Conference

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
159
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 07 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Amores DTanin EVasardani M(2024)Flexible Paths: A Path Planning Approach to Dynamic NavigationIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.334349025:6(4795-4808)Online publication date: Jun-2024
https://doi.org/10.1109/TITS.2023.3343490
Chen HGuo BYu ZWang AZheng C(2020)The Framework of Increasing Drivers’ Income on the Online Taxi PlatformsIEEE Transactions on Network Science and Engineering10.1109/TNSE.2020.29929317:4(2182-2191)Online publication date: 1-Oct-2020
https://doi.org/10.1109/TNSE.2020.2992931
Zhou XRong HYang CZhang QKhezerlou AZheng HShafiq ZLiu A(2020)Optimizing Taxi Driver Profit Efficiency: A Spatial Network-Based Markov Decision Process ApproachIEEE Transactions on Big Data10.1109/TBDATA.2018.28755246:1(145-158)Online publication date: 1-Mar-2020
https://doi.org/10.1109/TBDATA.2018.2875524
Rahaman MRen YHamilton MSalim F(2018)Wait Time Prediction for Airport Taxis Using Weighted Nearest Neighbor RegressionIEEE Access10.1109/ACCESS.2018.28825806(74660-74672)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2882580
Chen HGuo BYu ZChin ATian JChen C(2016)Which Is the Greenest Way Home? A Lightweight Eco-Route Recommendation Framework Based on Personal Driving Habits2016 12th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)10.1109/MSN.2016.038(187-194)Online publication date: Dec-2016
https://doi.org/10.1109/MSN.2016.038

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Numerical Analysis of Tractor Accidents using Driving Simulator for Autonomous Driving Tractor

Driving Maneuvers Analysis Using Naturalistic Highway Driving Data

Velocity Optimization of Pure Electric Vehicles with Traffic Dynamics and Driving Safety Considerations

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Upcoming Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations