A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling

Abstract

The unprecedented growth of today’s cities together with increased population mobility are fueling the avalanche in the numbers of vehicles on the roads. This development led to the new challenges for the traffic management, including the mitigation of road congestion, accidents, and air pollution. Over the last decade, researchers have been focusing their efforts on leveraging the recent advances in sensing, communications, and dynamic adaptive technologies to prepare the deployed road traffic management systems (TMS) for resolving these important challenges in future smart cities. However, the existing solutions may still be insufficient to construct a reliable and secure TMS that is capable of handling the anticipated influx of the population and vehicles in urban areas. Along these lines, this work systematically outlines a perspective on a novel modular environment for traffic modeling, which allows to recreate the examined road networks in their full resemblance. Our developed solution is targeted to incorporate the progress in the Internet of Things (IoT) technologies, where low-power, embedded devices integrate as part of a next-generation TMS. To mimic the real traffic conditions, we recreated and evaluated a practical traffic scenario built after a complex road intersection within a large European city.

A STUDY OF MALAYSIA’S SMART CITIES INITIATIVE PROGRESS IN COMPARISON OF NEIGHBOURING COUNTRIES (SINGAPORE & INDONESIA)

“…Thus, the city council can have better control over the activities happened in the city through the data collected and analysed by the IoT technologies [27], [28]. IoT implementations can guarantee the road to "Smart Future" and improvise the quality of the citizen's life by using IoT technology to provide "Smart Services" [27], [20].…”

“…For example, the city councils are able to detect the congested areas of the Smart City by using IoT sensors that collect data and information. These data becomes very useful for the city council to plan the route details and need of public transport in order to solve the traffic issue in that particular area [28], [20].…”

A Fault Tolerance Mechanism for On-Road Sensor Networks

“…Fernández-Lozano et al [12] proposed a system based on Wireless Sensor Network (WSN) designed to characterize urban traffic, particularly traffic trend monitoring through the calculation of the origin-destination matrix. Masek et al [13] outlined a perspective on a novel modular environment for traffic modeling, which allows recreating the examined road networks in their full resemblance. These studies focus merely on providing more accurate observations or measurement results from a well-established wireless sensor network.…”

An Intelligent Luminance Control Method for Tunnel Lighting Based on Traffic Volume

“…As can be observed in this figure, most vehicles speed range between 51 km/h and 90 km/h, and few of them exceed a speed of 110 km/h. include the infrared detector and loop vehicle detector, and they are installed outside of the tunnel entrance to detect if vehicles are about to enter the tunnel, vehicle speed and traffic volume [37]. The luminance detector is placed about a stopping distance (which varies according to design vehicle speed) from the tunnel entrance.…”

“…The hardware system mainly consists of vehicle detectors, luminance detector, LED dimming controllers, monitoring cameras, optical transmission network, tunnel lighting lamps, server and lighting control software in the tunnel operational monitoring center. The vehicle detectors [36] include the infrared detector and loop vehicle detector, and they are installed outside of the tunnel entrance to detect if vehicles are about to enter the tunnel, vehicle speed and traffic volume [37]. The luminance detector is placed about a stopping distance (which varies according to design vehicle speed) from the tunnel entrance.…”