From How to Where: Traffic Optimization in the Era of Automated Vehicles (Vision Paper)
K Ramamohanarao, J Qi, E Tanin, S Motallebi
Association for Computing Machinery (ACM) | Published : 2017
© 2017 Association for Computing Machinery. A large number of self-driving cars will be on roads in the near future. They will change traffic significantly. Self-driving cars can infer and decide travel paths from passenger input. Passengers do not need to involve in route planning. This provides great opportunities for traffic management systems to collaborate and achieve more efficient traffic management. By knowing most source-destination pairs of the passengers, we envisage an increasingly integrated system that can optimize routes and traffic lights to minimize travel time. By optimally scheduling time of travel and traffic light switching timings, such systems can also provide simultan..View full abstract
Awarded by University of Melbourne Early Career Researcher Grant
Jianzhong Qi is supported by The University of Melbourne Early Career Researcher Grant (project number 603049).