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Oct 16, 2022 · Abstract:We introduce a heuristic scheduling algorithm for real-time adaptive traffic signal control to reduce traffic congestion.
This algorithm adopts a lane-based model that estimates the arrival time of all vehicles approaching an intersection through different lanes, and then computes ...
This algorithm adopts a lane-based model that estimates the arrival time of all vehicles approaching an intersection through different lanes, and then computes ...
ERIS is a decentralized, schedule-driven control method which makes a decision every second based on current traffic conditions to reduce congestion. Problem ...
The proposed algorithm takes advantage of the detailed real-time timing information provided by schedule-driven traffic control and the availability of ...
Real-time optimization of the dynamic flow of vehicle traf- fic through a network of signalized intersections is an im- portant practical problem.
A Real-Time Server Based Approach for Safe and Timely Intersection ...
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Compared to the pre-timed traffic control and an adaptive scheduling based traffic control, our algorithm is able to avoid spillbacks under highly dynamic ...
We begin by presenting Expressive Real-time Intersection Scheduling (ERIS), a schedule-driven intersection control strategy that runs independently on each ...
We introduce a heuristic scheduling algorithm for real-time adaptive traffic signal control to reduce traffic congestion. Scheduling · Traffic Signal Control.
This study proposes a shared-phase-dedicated-lane (SPDL)-based traffic control model at an isolated intersection with CAV dedicated lanes in the mixed traffic ...