Читать книгу Cyberphysical Smart Cities Infrastructures. Optimal Operation and Intelligent Decision Making онлайн

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Traffic decision‐making system, as known as intelligent transportation system (ITS), aims to detect traffic flow within a smart city and offer optimal solutions using proper big data analytics [48]. Assessing and analyzing this big data plays a pivot role in decision making systems that makes the process time‐ and cost‐efficient [37]. Researchers addressed some case studies within traffic decision‐making systems, such as road traffic accidents analysis [49, 50], public transportation management and control, and road traffic flow prediction.

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Additionally, big data analysis algorithms facilitate and boost the process of handling large amount of data to provide enough information for making decisions. Traffic decision‐making systems using big data algorithms and technologies help associate offices and the people in charge to get to learn drivers' journey patterns within the transportation network that reports whole network trends or better understanding of similar drivers [37]. Considering this feature, the systems provide the best path to drivers to reach their destination through the minimum time possible. Furthermore, the systems help the city to relay the traffic by controlling traffic light, the best timing to decide which light should be on or off and for what period.