A data driven approach to assessing the reliability of using taxicab as probes for Real-Time route selections. Issue 4 (15th June 2021)
- Record Type:
- Journal Article
- Title:
- A data driven approach to assessing the reliability of using taxicab as probes for Real-Time route selections. Issue 4 (15th June 2021)
- Main Title:
- A data driven approach to assessing the reliability of using taxicab as probes for Real-Time route selections
- Authors:
- Wang, Zheng
Lin, Wei-Hua
Xu, Wangtu - Abstract:
- Abstract: Taxi service is one of the most important modes for urban transportation. In recent years, many taxi companies have been routinely collecting data to track the movement of each taxi for improving security, coordination, and service performance. This paper is intended to use the GPS vehicle positioning data to assess the route choice behavior of taxi drivers and explore if the routes selected by taxi drivers can be incorporated into a traveler information system. It is often perceived that taxi drivers have the ability to select quality routes assuming that: (1) they tend to be more knowledgeable about alternative routes and time-dependent traffic conditions than general public, including some publicly available route guidance systems due to the nature of their profession; and (2) they are typically more motivated to incorporate their knowledge about traffic conditions into their route choice decisions. An experimental study is conducted to examine the validity of these two assumptions. We have developed a framework that can effectively process the data into information about routes selected by taxi drivers and their associated travel times. The performance of the routes selected by taxi drivers is compared with the performance of those recommended by e-maps. Our results indicate that the routes selected by taxi drivers are generally more efficient than the routes recommended by some major e-maps, suggesting that taxi drivers are more active in selecting routes toAbstract: Taxi service is one of the most important modes for urban transportation. In recent years, many taxi companies have been routinely collecting data to track the movement of each taxi for improving security, coordination, and service performance. This paper is intended to use the GPS vehicle positioning data to assess the route choice behavior of taxi drivers and explore if the routes selected by taxi drivers can be incorporated into a traveler information system. It is often perceived that taxi drivers have the ability to select quality routes assuming that: (1) they tend to be more knowledgeable about alternative routes and time-dependent traffic conditions than general public, including some publicly available route guidance systems due to the nature of their profession; and (2) they are typically more motivated to incorporate their knowledge about traffic conditions into their route choice decisions. An experimental study is conducted to examine the validity of these two assumptions. We have developed a framework that can effectively process the data into information about routes selected by taxi drivers and their associated travel times. The performance of the routes selected by taxi drivers is compared with the performance of those recommended by e-maps. Our results indicate that the routes selected by taxi drivers are generally more efficient than the routes recommended by some major e-maps, suggesting that taxi drivers are more active in selecting routes to avoid congestion. … (more)
- Is Part Of:
- Journal of intelligent transportation systems. Volume 25:Issue 4(2021)
- Journal:
- Journal of intelligent transportation systems
- Issue:
- Volume 25:Issue 4(2021)
- Issue Display:
- Volume 25, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 25
- Issue:
- 4
- Issue Sort Value:
- 2021-0025-0004-0000
- Page Start:
- 331
- Page End:
- 342
- Publication Date:
- 2021-06-15
- Subjects:
- Data driven approach -- route choice -- taxi service -- travel time estimation
Intelligent transportation systems -- Periodicals
Transportation -- Technological innovations -- Periodicals
388.312 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/15472450.2019.1617142 ↗
- Languages:
- English
- ISSNs:
- 1547-2450
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5007.538900
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17338.xml