Open AccessPhantom Traffic Jam Based on MATLAB
Author(s) -
Luqiao Wang,
Xiaogan Liang
Publication year - 2021
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 - 10.1088/1742-6596/1852/4/042036
Subject(s) - phenomenon , matlab , computer science , traffic congestion , traffic congestion reconstruction with kerner's three phase theory , imaging phantom , simulation , transport engineering , network congestion , control (management) , mechanism (biology) , computer security , artificial intelligence , engineering , physics , optics , quantum mechanics , network packet , operating system
In recent years, many cities have formed a complete modern transportation system, but the phenomenon of “phantom traffic jam” is also frequent, the reason of which has been concerned by people. At present, much research has analyzed this phenomenon, but there are still many questions about its occurrence. Therefore, this paper makes an in-depth study and analysis of the phenomenon of “phantom traffic jam”, it can be found that the causes of this phenomenon are the bad driving habits of drivers and unreasonable road planning. In view of this situation, this paper adopts MATLAB as the analysis tool, and establishes a MATLAB traffic congestion prediction model according to the main characteristics of the phenomenon of “phantom traffic jam”. The occurrence mechanism of the phenomenon of “phantom traffic jam” has been combined and it can control the existing traffic network intelligently. According to different congestion conditions, the traffic congestion prediction model is tested separately in the form of secondary classification. It can be found that the accuracy rate of the prediction system in this paper reaches more than 90% from the test results. Therefore, the model can meet the current requirement of traffic congestion prediction.