Paper Info
Title
Optimal controls of fleet trajectories for fuel and emissions
Abstract
Increased demand for transport, coupled with energy, climate and environmental concerns, has put more and more pressure for improved performance on traffic systems. The recent development in vehicle-to-infrastructure (V2I) communication provides an effective means for continuous management of vehicle driving. This study presents an essential step of the work towards a dynamic fleet management system that takes advantages of real-time traffic information and communication. Based on the optimal control theory, a methodological approach is developed to control the environmental impacts of live vehicle fleets. In particular, vehicle trajectories that minimize local environmental objectives are derived by applying a discrete dynamic programming method. Numerical examples show that the method is promising for local V2I based traffic management applications and can be further extended for more complex optimal control problems in dynamic fleet management.
Year
DOI
Venue
2013
10.1109/IVS.2013.6629606
Intelligent Vehicles Symposium
Keywords
DocType
ISSN
mobile communication,traffic systems,optimal control,road vehicles,fleet trajectories,optimal control theory,vehicle trajectories,control engineering computing,real-time traffic information,energy concerns,automated highways,continuous vehicle driving management,environmental concerns,vehicle-to-infrastructure communication,dynamic programming,live vehicle fleets,climate concerns,transport demand,dynamic fleet management system,v2i based traffic management applications,discrete dynamic programming method
Conference
1931-0587
ISBN
Citations 
PageRank 
978-1-4673-2754-1
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Xiaoliang Ma118218.51