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, and case studies, as well as large-scale deployment.

This workshop would like to bring together the researchers to share the exciting data-driven techniques to solve transportation problems.

Topics of interest include but not limited to:

•     - Data mining techniques for transportation: traffic forecasting, travel time estimation, traffic estimation, semantic mobility data understanding, data visualization, and interactive design
•     - Intelligent control and planning in transportation: traffic signal control, autonomous driving, vehicle dispatching, route planning, public transportation management, including air, road, and rail traffic management
•     - Open datasets, benchmarks and demonstrations in transportation
•     - Security, privacy, and safety issues in transportation systems
•     - Support systems for drivers, pedestrians, bike riders, policymakers and other parties
•     - Public policy, and regulatory and societal issues in transportation systems
•     - Intelligent transportation systems integration into existing road infrastructure

This year we will have paper submissions, invited papers and invited talks.

All the accepted papers will be included in the ERA special issue “Data-driven Intelligent Transportation”. For more information, please find it here. In particular, this workshop would like to call for research papers sharing the experiences from the real data and real-world practice. We do not require technical innovations (using existing data mining techniques is totally acceptable).