How long a passenger waits for a vacant taxi? Large-scale taxi trace mining for smart cities

Guande Qi; Gang Pan; Shijian Li; Zhaohui Wu; Daqing Zhang; Lin Sun; Laurence Tianruo Yang

doi:10.1109/GreenCom-iThings-CPSCom.2013.175

How long a passenger waits for a vacant taxi? Large-scale taxi trace mining for smart cities

Guande Qi
, Gang Pan
, Shijian Li
, Zhaohui Wu
, Daqing Zhang
, Lin Sun
, Laurence Tianruo Yang

College of Computer Science and Technology, Zhejiang University
CNRS SAMOVAR UMR 5157
HANDICOM Lab
Department of Computer Science
St. Francis Xavier University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

41 Citations (Scopus)

Abstract

To achieve smart cities, real-world trace data sensed from the GPS-enabled taxi system, which conveys underlying dynamics of people movements, could be used to make urban transportation services smarter. As an example, it will be very helpful for passengers to know how long it will take to find a taxi at a spot, since they can plan their schedule and choose the best spot to wait. In this paper, we present a method to predict the waiting time for a passenger at a given time and spot from historical taxi trajectories. The arrival model of passengers and that of vacant taxis are built from the events that taxis arrive at and leave a spot. With the models, we could simulate the passenger waiting queue for a spot and infer the waiting time. The experiment with a large-scale real taxi GPS trace dataset is carried out to verify the proposed method.

Original language	English
Title of host publication	Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
Pages	1029-1036
Number of pages	8
DOIs	https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.175
Publication status	Published - 1 Dec 2013
Externally published	Yes
Event	2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013 - Beijing, China Duration: 20 Aug 2013 → 23 Aug 2013

Publication series

Name	Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

Conference

Conference	2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
Country/Territory	China
City	Beijing
Period	20/08/13 → 23/08/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Keywords

Arriving model
Passenger's waiting time
Smart city
Taxi trace data

Access to Document

10.1109/GreenCom-iThings-CPSCom.2013.175

Cite this

Qi, G., Pan, G., Li, S., Wu, Z., Zhang, D., Sun, L., & Yang, L. T. (2013). How long a passenger waits for a vacant taxi? Large-scale taxi trace mining for smart cities. In Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013 (pp. 1029-1036). Article 6682189 (Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013). https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.175

Qi, Guande ; Pan, Gang ; Li, Shijian et al. / How long a passenger waits for a vacant taxi? Large-scale taxi trace mining for smart cities. Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013. 2013. pp. 1029-1036 (Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013).

@inproceedings{de0c10840a8e4c6aa8a9c0b57b9180bf,

title = "How long a passenger waits for a vacant taxi? Large-scale taxi trace mining for smart cities",

abstract = "To achieve smart cities, real-world trace data sensed from the GPS-enabled taxi system, which conveys underlying dynamics of people movements, could be used to make urban transportation services smarter. As an example, it will be very helpful for passengers to know how long it will take to find a taxi at a spot, since they can plan their schedule and choose the best spot to wait. In this paper, we present a method to predict the waiting time for a passenger at a given time and spot from historical taxi trajectories. The arrival model of passengers and that of vacant taxis are built from the events that taxis arrive at and leave a spot. With the models, we could simulate the passenger waiting queue for a spot and infer the waiting time. The experiment with a large-scale real taxi GPS trace dataset is carried out to verify the proposed method.",

keywords = "Arriving model, Passenger's waiting time, Smart city, Taxi trace data",

author = "Guande Qi and Gang Pan and Shijian Li and Zhaohui Wu and Daqing Zhang and Lin Sun and Yang, \{Laurence Tianruo\}",

year = "2013",

month = dec,

day = "1",

doi = "10.1109/GreenCom-iThings-CPSCom.2013.175",

language = "English",

isbn = "9780769550466",

series = "Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013",

pages = "1029--1036",

booktitle = "Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013",

note = "2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013 ; Conference date: 20-08-2013 Through 23-08-2013",

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Qi, G, Pan, G, Li, S, Wu, Z, Zhang, D, Sun, L & Yang, LT 2013, How long a passenger waits for a vacant taxi? Large-scale taxi trace mining for smart cities. in Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013., 6682189, Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013, pp. 1029-1036, 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013, Beijing, China, 20/08/13. https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.175

How long a passenger waits for a vacant taxi? Large-scale taxi trace mining for smart cities. / Qi, Guande; Pan, Gang; Li, Shijian et al.
Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013. 2013. p. 1029-1036 6682189 (Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - How long a passenger waits for a vacant taxi? Large-scale taxi trace mining for smart cities

AU - Qi, Guande

AU - Pan, Gang

AU - Li, Shijian

AU - Wu, Zhaohui

AU - Zhang, Daqing

AU - Sun, Lin

AU - Yang, Laurence Tianruo

PY - 2013/12/1

Y1 - 2013/12/1

N2 - To achieve smart cities, real-world trace data sensed from the GPS-enabled taxi system, which conveys underlying dynamics of people movements, could be used to make urban transportation services smarter. As an example, it will be very helpful for passengers to know how long it will take to find a taxi at a spot, since they can plan their schedule and choose the best spot to wait. In this paper, we present a method to predict the waiting time for a passenger at a given time and spot from historical taxi trajectories. The arrival model of passengers and that of vacant taxis are built from the events that taxis arrive at and leave a spot. With the models, we could simulate the passenger waiting queue for a spot and infer the waiting time. The experiment with a large-scale real taxi GPS trace dataset is carried out to verify the proposed method.

AB - To achieve smart cities, real-world trace data sensed from the GPS-enabled taxi system, which conveys underlying dynamics of people movements, could be used to make urban transportation services smarter. As an example, it will be very helpful for passengers to know how long it will take to find a taxi at a spot, since they can plan their schedule and choose the best spot to wait. In this paper, we present a method to predict the waiting time for a passenger at a given time and spot from historical taxi trajectories. The arrival model of passengers and that of vacant taxis are built from the events that taxis arrive at and leave a spot. With the models, we could simulate the passenger waiting queue for a spot and infer the waiting time. The experiment with a large-scale real taxi GPS trace dataset is carried out to verify the proposed method.

KW - Arriving model

KW - Passenger's waiting time

KW - Smart city

KW - Taxi trace data

U2 - 10.1109/GreenCom-iThings-CPSCom.2013.175

DO - 10.1109/GreenCom-iThings-CPSCom.2013.175

M3 - Conference contribution

AN - SCOPUS:84893483673

SN - 9780769550466

T3 - Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

SP - 1029

EP - 1036

BT - Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

T2 - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

Y2 - 20 August 2013 through 23 August 2013

ER -

Qi G, Pan G, Li S, Wu Z, Zhang D, Sun L et al. How long a passenger waits for a vacant taxi? Large-scale taxi trace mining for smart cities. In Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013. 2013. p. 1029-1036. 6682189. (Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013). doi: 10.1109/GreenCom-iThings-CPSCom.2013.175

How long a passenger waits for a vacant taxi? Large-scale taxi trace mining for smart cities

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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