Learning to Recommend Signal Plans under Incidents with Real-Time Traffic Prediction

21 May 2020 Weiran Yao Sean Qian

The main question to address in this paper is to recommend optimal signal timing plans in real time under incidents by incorporating domain knowledge developed with the traffic signal timing plans tuned for possible incidents, and learning from historical data of both traffic and implemented signals timing. The effectiveness of traffic incident management is often limited by the late response time and excessive workload of traffic operators... (read more)

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