Traffic State Identification Using Matrix Completion Algorithm Under Connected and Automated Environment

2021 ◽  
Author(s):  
Kun Zhou ◽  
Xu Qu ◽  
Bin Ran
Keyword(s):  
Matrix Completion ◽  
Traffic State ◽  
State Identification

New Research for Traffic State Identification

2014 ◽  
Vol 571-572 ◽  
pp. 291-294
Author(s):  
Yun Xiang Liu ◽  
Ping Zhu ◽  
Hao Wang ◽  
Xin Xin Yuan
Keyword(s):  
Control System ◽  
Residence Time ◽  
Secondary Development ◽  
Reading And Writing ◽  
Traffic State ◽  
State Identification ◽  
Simulated Experiment ◽  
Time To Build ◽  
New Research ◽  
Electronic Tags

The article proposed a new research. The method may avoid interference of reverse drive vehicle by installing back-to-back reader in section, adopting active electronic tags to expand the scope and accuracy about reading and writing, using the information including the number of electronic tags in scanning section, update ratio, residence time to build the linkage system between control system and vehicle-mounted electronic tags, and cooperating with the signal condition in intersection, to make the discrimination of traffic state, especially the discrimination of congestion state. The method could identify the traffic state effectively, which was verified by simulated experiment through secondary development of VISSIM.

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