Open AccessOversaturation Overflow Detection at Intersections Based on Electric Police Data
Author(s) -
Hao Wang,
Zhixin Wu,
Jianmin Ju,
Meixin Huang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/3/032068
Subject(s) - vissim , queue , queueing theory , computer science , intersection (aeronautics) , sample (material) , real time computing , traffic congestion , computer network , transport engineering , engineering , chemistry , chromatography
Traffic congestion is still an important problem that plagues the city. The “Deadlock” of the road network caused by the queuing overflow has a more serious for traffic. In the past, the overflow research was based on fixed detectors or floating car data with low sampling rate. It can only make rough judgments on queue overflow, and it is difficult to effectively support refined queue management. In recent years, the coverage of electronic police has become higher and higher, and the data has the characteristics of high sample rate and trajectory. Therefore, this paper is based on the electronic police’s license plate identification data to obtain travel time delay and vehicle relationship and building a queuing overflow model. Secondly, by constructing a VISSIM simulation model, and then judging the oversaturated queue overflow at the intersection library through the delay time, the validity of the model was verified by combining with the traffic data of Ningbo Zhenhai District. The research results provide theoretical basis and method support for road traffic queuing management.