PALM: Platoons Based Adaptive Traffic Light Control System for Mixed Vehicular Traffic
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2021-10
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Abstract
With the development of autonomous vehicles, a
mixed traffic flow scenario of Connected Autonomous Vehicles
(CAV) and Human-Driven Vehicles (HVs) would be popular in
the near future. The traditional traffic light control systems
(TLCSs) for HVs do not make full use of traffic information
collected via VANET; meanwhile emerging traffic light systems
for CAV assume complicated and quick reactions, which human
drivers may not be able to handle. Therefore, they are not
suitable for the mixed scenario. This paper proposed a novel
TLCS, named PALM, for tackling the challenge for handling
mixed traffic scenarios. PALM considers the traffic flow at each
intersection and adjacent ones and adjusts the traffic lights
schedule for the next few phases accordingly. It also optimizes
the signal timing and phases to better serve the platoons formed
by CAV. The simulation results show that our approach achieves
up to 75.34% and 33.02% drop in the average waiting time
compared to the static and actuated TLCS, respectively.