What is it about?
The scheduling of traffic signal at intersections is involved in an application of artificial intelligence (AI) system. This study presents a new forward search algorithm based on dynamic programming (FSDP) under a decision tree, and explores an efficient solution for real-time adaptive traffic signal control policy.
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Why is it important?
FSDP algorithm reduces the number of states and saves much computation time. Consequently, FSDP is certain to be an online algorithm through its application to a complicated traffic control problem. Moreover, the labeled position method is firstly proposed in our study to search the optimal policy after reaching the goal state.
Perspectives
This work investigates an algorithm based on A* for traffic signal control. Some ideas are new and interesting , such as the time constraints in planning, the labeled position method for backward searching the optimal decision in each step.
Dr Biao YIN
Universite de Technologie de Belfort-Montbeliard
Read the Original
This page is a summary of: Forward search algorithm based on dynamic programming for real-time adaptive traffic signal control, IET Intelligent Transport Systems, September 2015, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-its.2014.0156.
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