Author:
Hoch Thomas,Kopetzky Theodorich
Abstract
AbstractRecent progress in video-based vehicle sensors allows for a detailed observation of road users on intersections in urban areas. By combining the measured real-life traffic situation with thorough traffic simulations, a cooperative system design for the dynamic management of traffic flow including vehicle platoons is possible. In this chapter, we describe our video-based traffic flow estimation system that we installed at a three-way intersection in the small city of Hallein, Austria. We show that the installed system is able to collect comprehensive information about the traffic situation in near real time, and that this information can be used to estimate traffic density and flows of cars and trucks with high precision.
Publisher
Springer International Publishing
Reference26 articles.
1. Al Homssi B, Al-Hourani A, Chavez KG, Chandrasekharan S, Kandeepan S, Energy-efficient IoT for 5G: a framework for adaptive power and rate control. Technical report
2. Barthélemy J, Verstaevel N, Forehead H, Perez P (2019) Edge-computing video analytics for real-time traffic monitoring in a smart city. Sensors (Switzerland) 19(9):5
3. Bian J, Tian D, Tang Y, Tao D (2018) A survey on trajectory clustering analysis 2
4. Blackman SS, Popoli R (1999) Design and analysis of modern tracking systems
5. Bolla R, Bruschi R, Davoli F, Cucchietti F (2011) Energy efficiency in the future internet: a survey of existing approaches and trends in energy-aware fixed network infrastructures
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