Toward a crowdsourcing solution to estimate border crossing times using market-available connected vehicle data
Author:
Affiliation:
1. Texas A&M Transportation Institute
2. University of Oxford, Oxford, United Kingdom
3. University of Arkansas
Funder
Center for International Intelligent Transportation Research, Texas A&M Transportation Institute
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3557922.3567669
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1. Methodology for Monitoring Border Crossing Delays with Connected Vehicle Data: United States and Mexico Land Crossings Case Study;Future Transportation;2024-02-02
2. Exploring the potential of market-available connected vehicle data in border crossing time estimation;Transactions in Urban Data, Science, and Technology;2024-01-31
3. Crowdsourcing Geospatial Data for Earth and Human Observations: A Review;Journal of Remote Sensing;2024-01
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