The influence of traffic on heavy-duty vehicle platoon formation

Heavy-duty vehicle (HDV) platooning is a mean to significantly reduce the fuel consumption for the trailing vehicle. By driving close to the vehicle in front, the air drag is reduced tremendously. Due to each HDV being assigned with different transport missions, platoons will need to be frequently formed, merged, and split. Driving on the road requires interaction with surrounding traffic and road users, which will influence how well a platoon can be formed. In this paper, we study how traffic may affect a merging maneuver of two HDVs trying to form a platoon. We simulate this for different traffic densities and for different HDV speeds. Even on moderate traffic density, a platoon merge could be delayed with 20 % compared to the ideal case with no traffic.

[1]  Bart van Arem,et al.  The Impact of Cooperative Adaptive Cruise Control on Traffic-Flow Characteristics , 2006, IEEE Transactions on Intelligent Transportation Systems.

[2]  Karl Henrik Johansson,et al.  Fuel-optimal centralized coordination of truck platooning based on shortest paths , 2015, 2015 American Control Conference (ACC).

[3]  Karl Henrik Johansson,et al.  A Distributed Framework for Coordinated Heavy-Duty Vehicle Platooning , 2015, IEEE Transactions on Intelligent Transportation Systems.

[4]  Assad Alam,et al.  Fuel-Efficient Heavy-Duty Vehicle Platooning , 2014 .

[5]  Karl Henrik Johansson,et al.  When is it Fuel Efficient for a Heavy Duty Vehicle to Catch Up With a Platoon , 2013 .

[6]  Bart De Schutter,et al.  Dynamic Speed Limits and On-Ramp Metering for IVHS using Model Predictive Control , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.

[7]  Mark D. Miller,et al.  Modeling Effects of Driver Control Assistance Systems on Traffic , 2001 .

[8]  P.,et al.  Flow Benefits of Autonomous Intelligent Cruise Control in Mixed Manual and Automated Traffic , 2015 .

[9]  Vicente Milanés Montero,et al.  Automated On-Ramp Merging System for Congested Traffic Situations , 2011, IEEE Transactions on Intelligent Transportation Systems.

[10]  Hans Fritz,et al.  Fuel Consumption Reduction in a Platoon: Experimental Results with two Electronically Coupled Trucks at Close Spacing , 2000 .

[11]  Rajesh Rajamani,et al.  Adaptive cruise control system design and its impact on highway traffic flow , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[12]  Franklin Farell Roadmap to a Single European Transport Area: Towards a competitive and resource efficient transport system , 2014 .

[13]  Peter Vortisch,et al.  Microscopic Traffic Flow Simulator VISSIM , 2010 .

[14]  Roberto Horowitz,et al.  Macroscopic traffic flow stability for adaptive cruise controlled (ACC) vehicles , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[15]  Majid Ali Khan,et al.  Convoy driving through ad-hoc coalition formation , 2005, 11th IEEE Real Time and Embedded Technology and Applications Symposium.

[16]  Xiaoliang Ma,et al.  A Simulation Platform for Autonomous Heavy-duty Vehicle Platooning in Mixed Traffic , 2015 .

[17]  Xiao-Yun Lu,et al.  Automated Truck Platoon Control and Field Test , 2014 .