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Article Dans Une Revue Applied Sciences Année : 2023

Efficient Traffic Flow Guidance Feedback Strategy Considering Drivers’ Disobedience in ITS

Résumé

Some research claims that the cultural features of people may have a major impact on driving behavior and can play a serious role in the driving safety. Indeed, unlike machines that follow the instructions strictly, drivers have their own will and may disobey; they sometimes do things completely opposite to the instructions given by the central vehicle system. On the other side, it is proven that the traffic flow guidance feedback strategy has a significant effect on improving road traffic flow capacity. This paper deals with traffic flow dynamics while real-time information is integrated. Drivers’ obedience rate to the instructions provided by an intelligent transportation system (ITS) is also considered. In addition, we implemented the process of pre-filtering the drivers for better managing the traffic, to the best of our knowledge; thus this process is not considered in the related literature. We introduced a dynamic weighted vehicle density feedback strategy (DWVDFS) with SUMO software 19.386-16 for determining whether traffic congestion happens or not. The simulation model considers three-route scenarios with one entrance and one exit. The added value of the proposed pre-filtering process and DWVDFS is also evaluated.
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hal-04429705 , version 1 (29-05-2024)

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Zhengyan Hu, Nacima Labadie, Lyes Khoukhi. Efficient Traffic Flow Guidance Feedback Strategy Considering Drivers’ Disobedience in ITS. Applied Sciences, 2023, 13 (9), pp.5788. ⟨10.3390/app13095788⟩. ⟨hal-04429705⟩
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