Open AccessReal-Time Simulation of Dynamic Traffic Flow with Traffic Data Assimilation Approach
Author(s) -
Yosuke Kawasaki,
Yusuke Hara,
Takuma Mitani,
Masao Kuwahara
Publication year - 2016
Publication title -
journal of disaster research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.332
H-Index - 18
eISSN - 1883-8030
pISSN - 1881-2473
DOI - 10.20965/jdr.2016.p0246
Subject(s) - benchmark (surveying) , kinematic wave , queue , traffic flow (computer networking) , data assimilation , computer science , traffic congestion , traffic congestion reconstruction with kerner's three phase theory , real time computing , kinematics , engineering , meteorology , transport engineering , geography , computer network , geodesy , ecology , physics , classical mechanics , surface runoff , biology
The real-time traffic state estimation we propose uses a state-space model considering the variability of the fundamental diagram (FD) and sensing data. Serious congestion was caused by vehicle evacuation in many Sanriku coast cities following the great East Japan earthquake on March 11, 2011. Many of the vehicles in these congested queues were caught in the enormous tsunami after the earthquake [1]. Safe, efficient evacuation and rescue and restoration require that dynamic traffic states be monitored in real time especially in natural disasters. Variational theory (VT) based on kinematic wave theory is used for the system model, with probe vehicle and traffic detector data used to for measurement data. Our proposal agrees better with simulated benchmark traffic states than deterministic VT results do.