Speed Trajectory Optimization for a Heavy-Duty Truck Traversing Multiple Signalized Intersections: A Dynamic Programming Study
- Pennsylvania State Univ., University Park, PA (United States). Dept. of Mechanical Engineering
This paper explores the fuel savings that can be achieved by optimizing the speed trajectory of a heavy-duty truck traversing a sequence of intersections, under the assumptions that the behavior of the leading traffic and the timing of the traffic lights is known. Specifically, we look at the impact of corridor topology (i.e. green cycle lengths, phase offsets) on the expected fuel savings of the optimized trajectories. This is an important area of research because vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technology has the potential to allow autonomous vehicles to reduce fuel consumption, especially in urban and sub-urban driving scenarios. The literature tackles the problem of arterial corridor trajectory optimization, and shows the potential fuel saving benefits. However, previous research focuses primarily on passenger vehicles, and often limits its findings to specific case studies. The main contribution of this paper is to offer an estimate of the fuel saving potential - for heavy-duty trucks and under different corridor characteristics - of optimizing trajectories in an urban arterial with V2V and V21 capabilities.
- Research Organization:
- Pennsylvania State Univ., University Park, PA (United States)
- Sponsoring Organization:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- DOE Contract Number:
- AR0000801
- OSTI ID:
- 1561265
- Journal Information:
- 2018 IEEE Conference on Control Technology and Applications (CCTA), Vol. 2018; Conference: 2. 2018 IEEE Conference on Control Technology and Applications (CCTA), Copenhagen (Denmark), 21-24 Aug 2018
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
dynamic programming
energy consumption
fuel economy
mobile robots
road traffic control
road vehicles
trajectory control
dynamic programming study
traffic lights
corridor topology
vehicle-to-vehicle
vehicle-to-infrastructure
autonomous vehicles
fuel consumption
arterial corridor trajectory optimization
passenger vehicles
speed trajectory optimization
potential fuel saving
heavy-duty truck traversing multiple signalized intersections
V2V
V2I
sub-urban driving scenarios
urban driving scenarios
Fuels
Trajectory
Optimization
Acceleration
Timing
Engines