Spatial Trajectory Clustering for Potential Route Identification and Participation Analysis for Carpool Commuters
Carpooling and other forms of ride sharing are of growing significance in urban travel as environment- friendly and sustainable travel alternatives. With the widespread use of location sensing technology, spatial data is easily accessible and widely available. Massive volumes of spatial datasets provide opportunities to work on spatial data mining. Clustering vehicle trajectories enables identification of potential carpool routes. The objective of this paper is to detect common sub-paths in a road network through the analysis of trajectory data and to propose potential routes for carpool commuters. The clustering algorithm was applied to a large set of meso-level simulated trajectory data in the Chicago area. The identified sub-path clusters provide a basis for detecting likely carpool routes. The carpool participation sensitivity analysis and the simulation test for departure and arrival guaranteed routes demonstrated that carpool programs could contribute to congestion relief and travel time reduction.
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Supplemental Notes:
- This paper was sponsored by TRB committee AP020 Standing Committee on Emerging and Innovative Public Transport and Technologies.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Hong, Zihan
- Chen, Ying
- Mahmassani, Hani S
- Xu, Shuang
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Conference:
- Transportation Research Board 95th Annual Meeting
- Location: Washington DC, United States
- Date: 2016-1-10 to 2016-1-14
- Date: 2016
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 17p
- Monograph Title: TRB 95th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Algorithms; Carpools; Cluster analysis; Data mining; Routing; Vehicle trajectories
- Geographic Terms: Chicago (Illinois)
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01593606
- Record Type: Publication
- Report/Paper Numbers: 16-7013
- Files: TRIS, TRB, ATRI
- Created Date: Mar 15 2016 10:13AM