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Title: Online Optimal Control of Connected Vehicles for Efficient Traffic Flow at Merging Roads

This paper addresses the problem of coordinating online connected vehicles at merging roads to achieve a smooth traffic flow without stop-and-go driving. We present a framework and a closed-form solution that optimize the acceleration profile of each vehicle in terms of fuel economy while avoiding collision with other vehicles at the merging zone. The proposed solution is validated through simulation and it is shown that coordination of connected vehicles can reduce significantly fuel consumption and travel time at merging roads.
 [1] ;  [1] ;  [2]
  1. ORNL
  2. Clemson University
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Conference: IEEE Intelligent Transportation Systems Conference 2015, de Gran Canaria, Spain, 20150915, 20150918
Research Org:
Oak Ridge National Laboratory (ORNL); National Transportation Research Center (NTRC)
Sponsoring Org:
ORNL LDRD Director's R&D
Country of Publication:
United States
Connected Vehicles; Autonomous Vehicles; Vehicle-to-Vehicle Communication; Vehicle-to-Infrastructure Communication; Cooperative Driving; Multi-vehicle Routing.