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Smart city article details
| Title | An Impact Of Smart Traffic Sensing On Strategic Planning For Sustainable Smart Cities |
|---|---|
| ID_Doc | 8225 |
| Authors | Krishan T.T.; Alkhawaldeh R.S.; Al-Hadid I.; Azawi R.A.; Al-Sharaeh S.H. |
| Year | 2020 |
| Published | Advances in Science, Technology and Innovation |
| DOI | http://dx.doi.org/10.1007/978-3-030-32902-0_4 |
| Abstract | 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. © Springer Nature Switzerland AG 2020. |
| Author Keywords | Acoustic-ultrasonic sensors; Cloud traffic; Future generation sensors systems; PH sensor; Smart sustainable cities; Smart traffic; Traffic ecosystem; Traffic sensing |
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