Vitruvius: An expert system for vehicle sensor tracking and managing application generation (original) (raw)
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Radio-frequency Identification (RFID) devices are seen as the gateway to a new phase of development of the information society, known as the "Internet of Things". In this new phase, devices with reduced computational capacity will communicate over the Internet, generating large amount of information that adds value to everyday life. This will affect the relationship people have with everyday life, and the current business models. With this concept in mind, this study tests the viability of using an embedded system to control vehicle access from a University campus. Therefore, it will be used a low-cost, open source and Internet-ready platform, commercially known as BeagleBone to perform this local control. It should interpret signals from sensors, control an actuator-which is an automatic gateand communicate over the network (using the standard protocols of the Internet stack-TCP / IP and Ethernet) using a simple LLRP middleware. The main contribution of this work is to define the feasibility of using such architecture for more complex control and traffic monitoring possible applications, delimiting boundaries for the application of this architecture.
In the past decade, due to increasingly challenging traffic conditions in large cities, pollution and safety issues, the development of intelligent transportation systems gained a significant interest due to the potential they present for traffic optimization. The current paper describes the MobiWay Integrated Platform for the development of Intelligent Transportation Systems which provides the infrastructure required for creating location-based applications by providing traffic data in real time as an input. In addition to that, this paper presents related work in the field of traffic management solutions and envisions future work in the development of the MobiWay platform. Keywords — ITS, Smart City, vehicular mobile data collection, VANET.
Internet Intelligent Services of Vehicles Based on the Internet of Things and Multiagent Systems
Journal of the Egyptian Mathematical Society, 2018
The facilities offered by the distributed computing systems such as Internet of Things (IoT), multi-agent systems (MASs) and vehicular networks can be used to integrate such paradigms to provide several services of Internet of Vehicles (IoV). The core objective of this paper is to present the integration of Multi-agent Systems (MASs) with IoT and IoV as a new model in Cypher Physical System (CPS) of smart vehicles application. MASs are more effective when we employ them with distributed computing infrastructures as with IoV to achieve more high performance. On the other hand, there is a lack of research works and a few papers in the literature till today with the integration of such paradigms, MAS, IoT, and IoV. The features of the proposed integration are based on the main characteristics of intelligent agents like intelligence, flexibility, proactivity and reactivity, and autonomy which can be employed in IoV paradigm to provide new solutions and intelligent services that will explore new advances and different facilities in transportation problems. Also, IoT provides an adequate environment for communication with MASs paradigms and applications as it provides reliable, flexible, effective, and smart services to vehicular networks. Moreover, integrating MASs with IoT and IoV could provide flexible, autonomous, and intelligent services of IoV. Some limitations and challenges of the proposed integration method in this paper are presented with some future research trends.
IRJET- Intelligent Traffic Information System based on Internet of Things
IRJET, 2020
In recent years, the popularity of personal vehicles is a major issue in big cities which causes traffic congestion, environmental pollution, waste of time and much more. Mostly, traffic congestion causes accidents. Hence, traffic management is a vital issue in big cities. Manual traffic control by policemen as well as the predefined set time for the signal at all circumstances has not proved to be efficient. The model makes use of cloud for delivering different services such as servers to address the above-mentioned issues, this paper proposes an internet-of-things (IoT) based model which also gives priority to avoiding dumping areas. This model makes use of cloud storage to deliver services such as real time data which gives continuous updates so that it can handle the traffic smoothly. A real time traffic information collection and monitoring system is proposed which solves the problem of real time monitoring and controlling road traffic. This system employs key technologies: Internet of Things, Android Application to, manage and supervise traffic information. Advantages of this model are cost effectiveness, fuel efficiency and reduced travelling time.
An internet of things based intelligent transportation system
2014 IEEE International Conference on Vehicular Electronics and Safety, 2014
With the emergence of the Internet, a large quantity of data is generated by the communication network, largely triggered by the human activity. Adding to this, emerging technology like Internet-of-Things (IoT) wherein a large number of devices are getting connected to the Internet, thereby accelerating the rate of data generation. There are also future predictions that the number of devices connected to the internet is going to exceed the number of people connected to the internet. So there occurs the necessity to harness this large amount of data (mostly sensor data), convert them into useful information, make intelligent predictions and use this knowledge to build robust systems. In this paper we demonstrate the idea to build an Intelligent Transportation System (ITS) using the Internet of Things (IoT) platform. The system has three components ; the sensor system, monitoring system and the display system. The sensor system has Global Positioning System (GPS), Near Field Communication (NFC), Temperature and Humidity sensors, which are always connected with the internet via a GSM network to track the location, commuter and ambience inside the bus. The monitoring system is used to extract the raw data from the sensors database, convert it in to a meaningful context, triggers some events with in the bus and provide information to the bus driver. The display system is used to show the context data (bus and travel related information) to all the commuters in the bus stop. We describe our prototype and show how this can be used as a fundamental component to build the ITS.
Developing a Solution for Intelligent Urban Transportation Management Using the Internet of Things
2020
The increasing use of technologies based on Internet of Things in cars and other transportation vehicles, as well as innovations in tracking systems and spatial information systems, have created the opportunity to collect tolls on urban roads in a more intelligent, more efficient, and a wider way. Considering the cultural and infrastructure variables in different cities, different approaches have been designed for this purpose, but so far, no work has been done in this area in Tehran. Therefore, in this research, a system of hardware and software based on the Internet of things was developed based on global positioning system (GPS)/ global system for mobile communication (GSM) for automated urban tolls in Tehran, which manages the location of a user's car and manages toll payments at any given moment. In addition, in this system, considering the cultural issues in the country, the infrastructure in the metropolis of Tehran, and important issues of the city, the trespass submission system is designed in accordance with the existing surveillance cameras and an infrared-based structure was used to reduce the burden of image processing in order to improve efficiency. The data obtained from this system will have more potential than only the urban toll management.
Deployment of Traffic Control Management System using IoV
Journal of emerging technologies and innovative research, 2021
In the modern era of evolving technology, everybody wants to achieve their goals in the least time. Urban mobility supports the integration and balanced development of society with the cooperation of the Internet of Things (IoT). IoT is a system that forms a network of different objects which is connected through the internet that can collect and transfer the data over a wireless network without human intervention. When the connected object is restricted over vehicles only then the technology is referred to as the Internet of Vehicles (IoV). With the growth of the urban population and the addition of cities, vehicle ownership has been increasing drastically. Thus, the management of traffic has become a great problem in our day-today life. A connected vehicle is equipped with Internet access and a wireless local area network that allows communication with other smart devices, whether inside the vehicle or outside in the environment. There are several ways that vehicles may be connected and with the environment as well as people such as drivers and those on the roads. These include vehicle-to-vehicle, vehicle-to-infrastructure, vehicle-to-pedestrian, vehicle-to-cloud, and generally as vehicle-to-everything. The paper deals with traffic management, the cause of an accident, and ensure the safety and security of the person inside the vehicles with the help of few sensors.
Information system for the management of intelligent traffic lights
Journal of Research and Development, 2020
Derived from the population increase and urban growth, vehicle traffic has increased in the cities of Colima and Villa de Álvarez located in Mexico, and with it the problems of road safety and traffic management; the increasing number of roads and traffic lights implies recording the information of each one of these; Therefore, this article presents an information system for the management of intelligent traffic light infrastructure. In the software engineering process, the Agile Unified Process was used to manage the main risks early and guarantee the quality of the product during its life cycle. The system was tested at a prototype level with satisfactory results, as a result a web system contributes to improving road and citizen safety, since based on two vehicle data it connects with web services to other databases, and identifies Immediately form the incidents of vehicles that pass through the roads, including stolen vehicle, speeding and a panic button. The expectations are to...
Ponte - ON BUILDING COGNITIVE EXPERT SYSTEM FOR MANAGING ROAD TRAFFIC WITHIN SMART CITIES.pdf
One of the major goals of developing countries is to build smart cities to avoid different kinds of congestions, accidents and many kinds of inordinate delays. The most important consideration is intelligent Traffic Management System. An intelligent traffic management system can be conceived through many of individual sub-systems which include Bio-sensing system, imaging system, messaging system, cognitive system, and visualization system, remote sensing, and communication system. Each of the sub-system while is expected to work independently, it should also be in existence in unison along with other subsystems.
Intelligent Traffic Information System based on Internet of Things
In recent years, the popularity of personal vehicles is a major issue in big cities which causes traffic congestion, environmental pollution, waste of time and much more. Mostly, traffic congestion causes accidents. Hence, traffic management is a vital issue in big cities. Manual traffic control by policemen as well as the predefined set time for the signal at all circumstances has not proved to be efficient. The model makes use of cloud for delivering different services such as servers to address the above-mentioned issues, this paper proposes an internet-ofthings (IoT) based model which also gives priority to avoiding dumping areas. This model makes use of cloud storage to deliver services such as real time data which gives continuous updates so that it can handle the traffic smoothly. A real time traffic information collection and monitoring system is proposed which solves the problem of real time monitoring and controlling road traffic. This system employs key technologies: Internet of Things, Android Application to, manage and supervise traffic information. Advantages of this model are cost effectiveness, fuel efficiency and reduced travelling time.