An Intelligent Transportation System: the Quito City Case Study

Managing traffic in a large city has become a topic of great interest in both politics and science. The costs of poor traffic management have been quantified as losses equal to millions of dollars, not counting the unquantifiable value of the time that a person loses in traffic jams. Intelligent transport systems (ITS) offer a set of innovative solutions specific to the management of different modes of transport. This article focuses on the development of an ITS for the city of Quito that allows smart decision-making to direct heavy haul transporters that want to enter the city via one of its main access routes. Technologies such as Sensor Web Enablement (SWE), in association with the Message Queuing Telemetry Transport (MQTT) communication protocol, facilitate the development of a vehicular management platform/system capable of sending notifications in real-time and issuing instructions to drivers regarding traffic delays along routes, average speeds, etc. The system supports a network of heterogeneous sensors accessible through the web. It can integrate any device that uses HTTP protocol. Time interval and location range testing have been undertaken to refine the accuracy of the system and make it adaptable to any geographic situation. The system allows communicate with the server through MQTT or through web services, using technologies such as: MongoDB and GeoJSON. One of the most relevant results is that the degree of accuracy of the system is within appropriate ranges when compared to commercial applications such as Google Maps and Waze

A Survey on the Network Models applied in the Industrial Network Optimization

Network architecture design is very important for the optimization of industrial networks. The type of network architecture can be divided into small-scale network and large-scale network according to its scale. Graph theory is an efficient mathematical tool for network topology modeling. For small-scale networks, its structure often has regular topology. For large-scale networks, the existing research mainly focuses on the random characteristics of network nodes and edges. Recently, popular models include random networks, small-world networks and scale-free networks. Starting from the scale of network, this survey summarizes and analyzes the network modeling methods based on graph theory and the practical application in industrial scenarios. Furthermore, this survey proposes a novel network performance metric - system entropy. From the perspective of mathematical properties, the analysis of its non-negativity, monotonicity and concave-convexity is given. The advantage of system entropy is that it can cover the existing regular network, random network, small-world network and scale-free network, and has strong generality. The simulation results show that this metric can realize the comparison of various industrial networks under different models.Comment: 26 pages, 11 figures, Journa

Wireless Sensors Network for Traffic surveillance and management in Smart Cities

The efficiency of a city’s own transportation system heavily influences its economic growth due to the increasing need to transport labour force, consumers and cargo. The use of the latest technologies to solve traffic problems is the main theme of ITS “Intelligent transportation system”, several solutions are already in use in many cities around the world and it is an indispensable part of the smart cities project. Our research focuses on developing a solution to manage road traffic in a smart city environment by utilizing wireless sensor network as medium to surveille the traffic. In this paper, we propose a set of countermeasures to avoid congestion and improve the flow of the traffic. The proposed countermeasures were simulated, and the results showed that our plan reduced the traffic congestion, minimized gases emission and increased fuel usage efficiency

Wireless Sensors Network for Traffic surveillance and management in Smart Cities

The efficiency of a city’s own transportation system heavily influences its economic growth due to the increasing need to transport labour force, consumers and cargo. The use of the latest technologies to solve traffic problems is the main theme of ITS “Intelligent transportation system”, several solutions are already in use in many cities around the world and it is an indispensable part of the smart cities project. Our research focuses on developing a solution to manage road traffic in a smart city environment by utilizing wireless sensor network as medium to surveille the traffic. In this paper, we propose a set of countermeasures to avoid congestion and improve the flow of the traffic. The proposed countermeasures were simulated, and the results showed that our plan reduced the traffic congestion, minimized gases emission and increased fuel usage efficiency. Document type: Conference objec

Wireless Sensors Network for Traffic surveillance and management in Smart Cities

The efficiency of a city’s own transportation system heavily influences its economic growth due to the increasing need to transport labour force, consumers and cargo. The use of the latest technologies to solve traffic problems is the main theme of ITS “Intelligent transportation system”, several solutions are already in use in many cities around the world and it is an indispensable part of the smart cities project. Our research focuses on developing a solution to manage road traffic in a smart city environment by utilizing wireless sensor network as medium to surveille the traffic. In this paper, we propose a set of countermeasures to avoid congestion and improve the flow of the traffic. The proposed countermeasures were simulated, and the results showed that our plan reduced the traffic congestion, minimized gases emission and increased fuel usage efficiency