Enabling Demand Modelling from Privately Held Mobility Data
Novel mobility paradigms such as car- and ride-sharing, on-demand transportation and proliferation of non-motorized modes change the transportation landscape quicker than traditional data sources, such as travel surveys, are able to reflect. At the same time, valuable mobility data are locked in private repositories of telecoms and service providers and cannot be easily shared whether for profit or objectives of public good. There exists a combination of customer privacy and security issues, the lack of business models for data-centric private-public partnerships, immaturity of data marketplaces and significant technical bottlenecks that are in the way. Paradoxically, this creates a data drought in the age of the big data deluge. Public agencies charged with a mandate to manage critical transportation infrastructures lack instruments to investigate and react to rapidly evolving demand patterns. This project will research how travel demand modeling can be enhanced and demand forecasting latency reduced within the current operation practices. This project will develop and showcase a novel algorithmic framework to calibrate discrete choice models using data held by the private sector in an efficient and privacy-preserving way that does not require disclosures of sensitive personal data.
Language
- English
Project
- Status: Completed
- Funding: $95321
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Contract Numbers:
2016 - TO 048 - 65A0529
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Sponsor Organizations:
California Department of Transportation
1227 O Street
Sacramento, CA United States 95843Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
University of California Center on Economic Competitiveness in Transportation (UCCONNECT)
University of California, Berkeley
Berkeley, CA United States 94720-1782 -
Performing Organizations:
University of California, Berkeley
444 Davis Hall
Berkeley, CA United States 94720 -
Principal Investigators:
Pozdnukhov, Alexey
- Start Date: 20160501
- Expected Completion Date: 20170430
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Data collection; Demand responsive transportation; Discrete systems; Mobility; Public private partnerships; Ridesharing; Travel demand; Vehicle sharing
- Subject Areas: Data and Information Technology; Highways; Public Transportation;
Filing Info
- Accession Number: 01628685
- Record Type: Research project
- Source Agency: University of California Center on Economic Competitiveness in Transportation (UCCONNECT)
- Contract Numbers: 2016 - TO 048 - 65A0529
- Files: UTC, RIP, STATEDOT
- Created Date: Mar 8 2017 5:02PM