PTRider: A Price-and-Time-Aware Ridesharing System

Lu Chen, Yunjun Gao, Zixian Liu, Xiaokui Xiao, Christian Søndergaard Jensen, Yifan Zhu

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

2 Citationer (Scopus)
14 Downloads (Pure)

Resumé

Ridesharing is popular among travellers because it can reduce
their travel costs, and it also holds the potential to reduce travel
time, congestion, air pollution, and overall fuel consumption.
Existing ridesharing systems (e.g., lyft, uberPOOL) often offer
each traveler only one choice that aims to minimize system-wide
vehicle travel distance or time. In this demonstration, we present a
price-and-time-aware ridesharing system, termed as PTRider,
which provides more options. It considers both pick-up time and
price, so that travellers are able to choose the vehicle matching
their preferences best. To answer the ridesharing request in real
time, PTRider builds indexes on the road network and vehicles
separately, and utilizes corresponding efficient matching methods.
A real-life dataset that contains 432,327 trips extracted from
17,000 Shanghai taxis for one day (May 29, 2009) is used to
demonstrate that PTRider can return various options for every
ridesharing request in real time.
OriginalsprogEngelsk
TidsskriftProceedings of the VLDB Endowment
Vol/bind11
Udgave nummer12
Sider (fra-til)1938-1941
ISSN2150-8097
DOI
StatusUdgivet - aug. 2018

Fingerprint

Air pollution
Fuel consumption
Demonstrations
Costs

Citer dette

Chen, Lu ; Gao, Yunjun ; Liu, Zixian ; Xiao, Xiaokui ; Jensen, Christian Søndergaard ; Zhu, Yifan. / PTRider: A Price-and-Time-Aware Ridesharing System. I: Proceedings of the VLDB Endowment. 2018 ; Bind 11, Nr. 12. s. 1938-1941.
@article{e8c0ec3b786840548fea335e2892f3ec,
title = "PTRider: A Price-and-Time-Aware Ridesharing System",
abstract = "Ridesharing is popular among travellers because it can reducetheir travel costs, and it also holds the potential to reduce traveltime, congestion, air pollution, and overall fuel consumption.Existing ridesharing systems (e.g., lyft, uberPOOL) often offereach traveler only one choice that aims to minimize system-widevehicle travel distance or time. In this demonstration, we present aprice-and-time-aware ridesharing system, termed as PTRider,which provides more options. It considers both pick-up time andprice, so that travellers are able to choose the vehicle matchingtheir preferences best. To answer the ridesharing request in realtime, PTRider builds indexes on the road network and vehiclesseparately, and utilizes corresponding efficient matching methods.A real-life dataset that contains 432,327 trips extracted from17,000 Shanghai taxis for one day (May 29, 2009) is used todemonstrate that PTRider can return various options for everyridesharing request in real time.",
author = "Lu Chen and Yunjun Gao and Zixian Liu and Xiaokui Xiao and Jensen, {Christian S{\o}ndergaard} and Yifan Zhu",
year = "2018",
month = "8",
doi = "10.14778/3229863.3236229",
language = "English",
volume = "11",
pages = "1938--1941",
journal = "Proceedings of the VLDB Endowment",
issn = "2150-8097",
publisher = "VLDB Endowment",
number = "12",

}

PTRider: A Price-and-Time-Aware Ridesharing System. / Chen, Lu; Gao, Yunjun; Liu, Zixian; Xiao, Xiaokui; Jensen, Christian Søndergaard; Zhu, Yifan.

I: Proceedings of the VLDB Endowment, Bind 11, Nr. 12, 08.2018, s. 1938-1941.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - PTRider: A Price-and-Time-Aware Ridesharing System

AU - Chen, Lu

AU - Gao, Yunjun

AU - Liu, Zixian

AU - Xiao, Xiaokui

AU - Jensen, Christian Søndergaard

AU - Zhu, Yifan

PY - 2018/8

Y1 - 2018/8

N2 - Ridesharing is popular among travellers because it can reducetheir travel costs, and it also holds the potential to reduce traveltime, congestion, air pollution, and overall fuel consumption.Existing ridesharing systems (e.g., lyft, uberPOOL) often offereach traveler only one choice that aims to minimize system-widevehicle travel distance or time. In this demonstration, we present aprice-and-time-aware ridesharing system, termed as PTRider,which provides more options. It considers both pick-up time andprice, so that travellers are able to choose the vehicle matchingtheir preferences best. To answer the ridesharing request in realtime, PTRider builds indexes on the road network and vehiclesseparately, and utilizes corresponding efficient matching methods.A real-life dataset that contains 432,327 trips extracted from17,000 Shanghai taxis for one day (May 29, 2009) is used todemonstrate that PTRider can return various options for everyridesharing request in real time.

AB - Ridesharing is popular among travellers because it can reducetheir travel costs, and it also holds the potential to reduce traveltime, congestion, air pollution, and overall fuel consumption.Existing ridesharing systems (e.g., lyft, uberPOOL) often offereach traveler only one choice that aims to minimize system-widevehicle travel distance or time. In this demonstration, we present aprice-and-time-aware ridesharing system, termed as PTRider,which provides more options. It considers both pick-up time andprice, so that travellers are able to choose the vehicle matchingtheir preferences best. To answer the ridesharing request in realtime, PTRider builds indexes on the road network and vehiclesseparately, and utilizes corresponding efficient matching methods.A real-life dataset that contains 432,327 trips extracted from17,000 Shanghai taxis for one day (May 29, 2009) is used todemonstrate that PTRider can return various options for everyridesharing request in real time.

U2 - 10.14778/3229863.3236229

DO - 10.14778/3229863.3236229

M3 - Journal article

VL - 11

SP - 1938

EP - 1941

JO - Proceedings of the VLDB Endowment

JF - Proceedings of the VLDB Endowment

SN - 2150-8097

IS - 12

ER -