An Impact of Smart Traffic Sensing on Strategic Planning for Sustainable Smart Cities
In recent years, smart governance in the context of smart city networks has emerged as a new trend for governments to monitor public activities. One of such activities is controlling the traffic lights that have a vital influence on strategic planning in shaping the smart cities. Thus, in this study, our contributions presented in a twofold as (i) solving the problems of using conventional traffic lights as well as reviewing the opportunities and challenges of the traffic sensing techniques, and (ii) innovating a novel model for traffic sensing and smart traffic monitoring called Smart Traffic Sensing Approach (STSA). In particular, regarding the STSA model, we proposed new traffic sensing model using ultrasonic-acoustic and biosensors, in intelligent ecosystem environments involving LED solar cells, for controlling the intensity of cars on the intersections of roads in non-stable situations due to their high accuracy in guided sensors and their modern characteristic in independency on a dynamic time period. Consequently, this technology reduces energy consumption, solves the problem of congestions, and increases productivity and flow on intersections in a more adaptive mode. In addition, it exploits the ecosystems to facilitate monitoring the mobile phone violations on the city’s roads and highways. As a result, the STSA approach is being served as a next-generation framework for computing in smart traffic, having an effect on smart cities infrastructure planning, and achieves sustainable development chances.
KeywordsAcoustic-ultrasonic sensors Cloud traffic Future generation sensors systems PH sensor Smart traffic Smart sustainable cities Traffic ecosystem Traffic sensing
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