Abstract
This paper presents a traffic light system based on wireless communication that provides a support infrastructure for intelligent control in the context of smart cities and aerotropolis areas. An aerotropolis is a metropolitan subregion with an infrastructure centered an airport. Traffic intensity is increasing all over the world. Intelligent dynamic traffic light system control is being sought to replace classic conventional manual and time-based systems. In this work, a wireless sensor network is designed and implemented to feed real-time data into an intelligent traffic light system control. A physical prototype is implemented for experimental validation outside the laboratory environment. The physical prototype shows robustness against unexpected issues and local failures. The results are positive in terms of the scope of experience gained, and there is potential for these tests to be extended to larger areas.
Highlights
In large cities and cities in which the metropolitan area has a percentage of its infrastructure and economy centered around an airport [1], a large percentage of the population travels the streets
The time and cost of connectivity supersede space and distance as the primary planning metrics. It is not the speed, but the time required for aerotropolis firms to connect to their suppliers, customers, and enterprise partners that is important [1,4]
Traffic density keeps increasing at an alarming rate in major cities, which calls for the development of intelligent traffic light control to replace the conventional manual and time-based methods [8]
Summary
In large cities and cities in which the metropolitan area has a percentage of its infrastructure and economy centered around an airport (aerotropolis) [1], a large percentage of the population travels the streets. Traffic density keeps increasing at an alarming rate in major cities, which calls for the development of intelligent traffic light control to replace the conventional manual and time-based methods [8] To ease this problem and improve mobility, safety, and traffic efficiency, many countries are improving their existing transportation systems [9]. When dynamic systems are used, traffic signal timing is adapted to the current conditions, which are measured from sensors [11]. This leads to better traffic control (TC). The main contribution of this paper is the definition and performance analysis of a reliable communication infrastructure for maintaining and continuously refreshing the real-time database of sensors and actuators that support the optimization methods for intelligent traffic management.
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