Development of a Road Traffic Monitoring System

Olga Shpur,Yuliia Pyrih,Taras Havryliv, Nazar Peleh,Oksana Urikova, Andrii Branytskyi

2021 IEEE 16th International Conference on the Experience of Designing and Application of CAD Systems (CADSM)(2021)

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摘要
The problem of traffic forecasting in cities is considered. To improve the traffic situation in the city of Lviv, in particular to avoid traffic jams, a traffic traffic forecasting system is proposed, the architecture of which consists of a server using the Google API, a database, Amazon Forecast and a client. To create vehicle routes, the A * (A star) algorithm was chosen, which is more efficient for finding the best path in areas with a large number of obstacles, which is ideal for finding routes in cities. The obtained results demonstrate the effectiveness of the developed road traffic forecasting system, which indicates the feasibility of using the developed system to improve traffic in the city of Lviv.
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关键词
Machine learning algorithms,Databases,Roads,Urban areas,Internet,Servers,Forecasting
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