Truck Platooning in a Connected and Autonomous Vehicle Environment

Interdisciplinary Areas: Internet of Things and Cyber Physical Systems, Data/Information/Computation, Smart City, Infrastructure, Transportation

Project Description

A truck platoon is a set of virtually linked trucks that drive closely behind one another using automated driving technology. Benefits of truck platooning include cost savings, reduced emissions, and more efficient use of road capacity. To fully reap these benefits in the initial phases of technology deployment, careful planning of platoons based on trucks’ itineraries and time schedules is required. This project will understand the impacts of truck platooning using real-world and simulated data from various transportation test networks to measure fuel efficiency, emissions and travel time impacts in a connected and autonomous vehicle (CAV) environment. Different mix of vehicles and traffic conditions will be considered within this testing. Both analytical and simulation models will be considered.

Start Date

August 1, 2019

Postdoc Qualifications

Background in Transportation Engineering/Mechanical Engineering

Background in Optimization, Machine Learning, Simulation Modeling

Background in programming in either C++ or Python 

Co-advisors

Satish Ukkusuri, School of Civil Engineering

Gregory Shaver, School of Mechanical Engineering

References

1. Krajewska, Kopfer, Laporte, Ropke, Zaccour, 2008
M.A. Krajewska, H. Kopfer, G. Laporte, S. Ropke, G. Zaccour
Horizontal cooperation among freight carriers: request allocation and profit sharing
J. Oper. Res. Soc., 59 (11) (2008), pp. 1483-1491, 

2. Liang, Mårtensson, Johansson, 2013
K.-Y. Liang, J. Mårtensson, K.H. Johansson
When is it fuel efficient for a heavy duty vehicle to catch up with a platoon?
IFAC Proceedings Volumes, 46 (2013), pp. 738-743, 10.3182/20130904-4-JP-2042.00071

3. Larson, Munson, Sokolov, 2016
J. Larson, T. Munson, V. Sokolov
Coordinated platoon routing in a metropolitan network
Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing (2016), pp. 73-82, 10.1137/1.9781611974690.ch8

4. Lioris, Pedarsani, Tascikaraoglu, Varaiya, 2017
J. Lioris, R. Pedarsani, F.Y. Tascikaraoglu, P. Varaiya
Platoons of connected vehicles can double throughput in urban roads
Transport. Res. Part C, 77 (2017), pp. 292-305, 10.1016/j.trc.2017.01.023

5. Larsson, Sennton, Larson, 2015
E. Larsson, G. Sennton, J. Larson
The vehicle platooning problem: computation complexity and heuristics
Transport. Res. Part C, 60 (2015), pp. 258-277, 10.1016/j.trc.2015.08.019