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The real-time urban traffic control system CRONOS: Algorithm and experiments
Institution:1. Saint Petersburg State Agrarian University, 2 Petersburgskoye Highway, Saint Petersburg, 196601, Russia;2. Рeoples’ Friendship University of Russia (RUDN University, 6 Miklukho-Maklaya St., Moscow, 117198, Russia;3. Saint Petersburg State University of Architecture and Civil Engineering, 4 Vtoraja Krasnoarmejskaja St., Saint Petersburg, 190005, Russia;4. Moscow Automobile and Road Construction State Technical University (MADI), 64 Leningradsky Prosp., Moscow, 125319, Russia
Abstract:The real-time urban traffic control algorithm CRONOS has been evaluated on an intersection by comparison of two reference control strategies, a local one and a centralized one. Recurrent traffic situations, from peak hour traffic to low traffic, have been studied, and the impact on the traffic from a fluidity point of view has been investigated using various criteria. The average behavior of CRONOS has also been analyzed by crossing the traffic signal colors with traffic variables. Several of the criteria are innovative, thanks to the real-time, accurate video-based traffic data collected.The results show high benefits of CRONOS on the total delay compared to the two reference control strategies, and benefits are also obtained on the total number of stops and percentage of stops, especially in comparison with the local strategy. All traffic situations (peak to low traffic) are concerned by these results. The analysis of the average behavior of CRONOS shows a higher average number of cycles per hour, more global green duration per hour at the center of the intersection, to the detriment of the entries. Moreover, CRONOS switches more often from amber to red when no vehicles are present on the link in percentage of cycles or in number of cycles per hour; it switches more often from green to amber when vehicles are present on the link in percentage of cycles per hour.
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