TY - GEN
T1 - The Third Workshop on Data-driven Intelligent Transportation
AU - Wei, Hua
AU - Sheron, Guni
AU - Wu, Cathy
AU - Chawla, Sanjay
AU - Li, Zhenhui
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/10/17
Y1 - 2022/10/17
N2 - Traffic is the pulse of the city. Transportation systems can involve humans, vehicles, shipments, information technology, and the physical infrastructure, all interacting in complex ways. Intelligent transportation enables the city to function in a more efficient and effective way. A wide range of city data become increasingly available, such as taxi trips, surveillance camera data, human mobility data from mobile phones or location-based services, events from social media, car accident reports, bike-sharing information, Points-Of-Interest, traffic sensors, public transportation data, and many more. This abundance of data poses a grand challenge to the CIKM research community: How to utilize such data toward city intelligence, across various transportation tasks? The 3rd workshop of "Data-driven Intelligent Transportation"welcomes articles and presentations in the areas of transportation systems, data mining, and artificial intelligence, conveying new advances and developments in theory, modeling, simulation, testing, case studies, as well as large-scale deployment.
AB - Traffic is the pulse of the city. Transportation systems can involve humans, vehicles, shipments, information technology, and the physical infrastructure, all interacting in complex ways. Intelligent transportation enables the city to function in a more efficient and effective way. A wide range of city data become increasingly available, such as taxi trips, surveillance camera data, human mobility data from mobile phones or location-based services, events from social media, car accident reports, bike-sharing information, Points-Of-Interest, traffic sensors, public transportation data, and many more. This abundance of data poses a grand challenge to the CIKM research community: How to utilize such data toward city intelligence, across various transportation tasks? The 3rd workshop of "Data-driven Intelligent Transportation"welcomes articles and presentations in the areas of transportation systems, data mining, and artificial intelligence, conveying new advances and developments in theory, modeling, simulation, testing, case studies, as well as large-scale deployment.
KW - spatio-temporal data mining
KW - transportation
KW - urban computing
UR - http://www.scopus.com/inward/record.url?scp=85140885265&partnerID=8YFLogxK
U2 - 10.1145/3511808.3557496
DO - 10.1145/3511808.3557496
M3 - Conference contribution
AN - SCOPUS:85140885265
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 5177
EP - 5178
BT - CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management
PB - Association for Computing Machinery
T2 - 31st ACM International Conference on Information and Knowledge Management, CIKM 2022
Y2 - 17 October 2022 through 21 October 2022
ER -