2nd Workshop on Data-driven Intelligent Transportation (DIT 2019)
Held in conjunction with KDD 2019
Location: Summit 4 - Ground level, Egan Center
Transportation is one of the most important components in any city in the world. In US, transportation sector accounts for 29% of energy consumption and traffic congestion cost is $305 billion in 2017. In China, Tier 1, Tier 2, and Tier 3 cities are now “full of cars.” In 2017, Beijing had car ownership penetration of 260 cars per 1,000 people, while the top 10 cities averaged 251 cars per 1,000 people. An intelligent transportation system is much needed to enable sustainable and efficient city.
In the meantime, modern technologies enable us to collect city data at an unprecedented speed. A wide range of city data has become increasingly available, such as taxi trips, surveillance camera data, human mobility data from mobile phones or location-based services, events, car accidents, shared bikes, POI, traffic from loop sensors, public transportation data, and many more.
How can we utilize such large-scale city data towards a more intelligent transportation system? While intelligent transportation is not a new topic, especially in the field of transportation research, existing transportation is not effectively utilizing large-scale city data and new computing technologies. Data and computing can help tackle many transportation questions including traffic signal control, route planning, shared transportation, autonomous driving, mixed transportation environment and data sensing.
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:
This year, we will have 4 invited talks and 11 lightning talks and poster presentations. We will also assemble a panel to award the best poster in our workshop. Stay tuned for more details.