Green driving on a two-way street
The objective of this research is to develop a dynamic green driving strategy for vehicles on a two-way street to cope with insufficient signal bandwidth in one direction with a green wave in the other direction. Green waves have been widely deployed to improve the progression of vehicles in a direction on a busy street; however, they can severely deteriorate the performance of the other direction due to the interrelation among the offsets in two directions. Recent advances in cellular networks and dedicated short-range communications make Vehicle-to-Infrastructure (V2I) communications a reality, as individual cars and traffic signals can now be equipped with communication and computing devices. In this proposal, we aim to develop a green driving strategy based on the feedback control theory with traffic signal information and loop detector data from V2I communication. This will address constant stops in the non-green-wave direction so as to provide mobility and environment improvements. For this purpose, we first develop a simulation platform by combining a car-following model and an emission model to calculate travel delays in queues, vehicle emissions, and fuel consumption. In this strategy, the control variable is an individual advisory speed limit for each equipped vehicle, which is designed to smooth vehicles’ speed profiles taking advantage of V2I communication. We will quantify the performance of the control system with respect to road topology, signal progression, market penetration rate, traffic conditions, communication characteristics, location accuracy, and the car-following model itself.
P.I. Name & Address
Funding Source: UC ITS Mobility Research Program (SB1)
Funding Amount: $57,840.00
Start and End Dates: January 1, 2018 to June 30, 2020