Benutzer: Gast  Login
Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Yang, Kui; Antoniou, Constantinos 
Titel:
Utilizing Reinforcement Learning Tree to Develop the Real-time Traffic Safety Management Framework on Urban Expressways 
Abstract:
How to reduce the crash frequency and the loss caused by crashes on urban 1 expressways is the main objective for traffic managers and researchers. Real-time crash risk 2 prediction (RTCRP) is one of the most important techniques to identify crash precursors so as to 3 take measures to smooth the traffic fluctuations; and automatic incident detection (AID) is 4 another important technique to identify the occurrence of incidents timely so as to take measures 5 to reduce the its negative impacts...    »
 
Stichworte:
20 21,Automatic 19 incident detection,Real-time crash risk prediction,Reinforcement learning tree,Traffic safety,Urban expressways 
Verlag / Institution:
TRB 
Jahr:
2022 
Monat: