Traffic control system using wireless sensor network (original) (raw)
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Due to the continuously increasing mobility demand the efficiency of the existing road infrastructure should be improved. Advanced control and management techniques offer promising, cost effective and environmentally friendly solutions to the problem. As traffic and vehicle control/management applications become more advanced they require more and more detailed and accurate real-time observations about the surrounding relevant world. The paper describes a road infrastructure based sensing and data interpretation system, which is scalable, robust and delivers the motion state estimation of the individual vehicles in real-time. The system enables a wide spectrum of intelligent transport system functionalities ranging from traffic management to fully autonomous driving. Distinguishing features of the solution that it does not require instrumentation on the vehicles to become detected and it is insensitive to ambient environmental conditions (weather, light, etc.). The paper describes the event driven object tracking algorithm, and its "mapping" to distributed computing platform resulting in an inherently robust implementation.
Wireless Sensor Network-based system for measuring and monitoring road traffic
2008
Nowadays, the measure and classification of vehicles in road traffic is accomplished by inductive loops placed under the pavement. These inductive loops allow monitoring vehicle passing by means of different configurations which provide us a number of data in order to control several parameters of the traffic (vehicle speed, traffic congestion and traffic accidents, between others). The major objective of this paper is to analysis an alternative to magnetic loops: the Wireless Sensor Networks. Firstly, a state of the art about road traffic control is described. Secondly, an alternative system based on Wireless Sensor Networks is analyzed. Network architecture for this WSN will be specified. It is not a trivial task because of the hard constraints of the small devices which compose the WSNs. In previous papers (1), we have proposed a methodology that facilitates the WSNs design for supporting real time applications such as traffic control applications. This design methodology has bee...
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Simulation Modelling Practice and Theory, 2017
This paper describes the application of a Wireless Traffic Monitoring and Tracking system in the Spanish city of Granada, as an approach for addressing important tasks in the field of Smart Traffic. To this end, several nodes of the so-called MOBYWIT system have been deployed at important urban points. They collect real-time vehicles' movement information based on Bluetooth signals detection. The gathered data have been processed in several ways, showing some of the applications that the system has, such as the composition of Origin/Destination matrices, the computation of accurate displacement times, or the estimation of real traffic in short terms by means of Time Series Forecast. The obtained results validate the system and proves its value as a tool for the urban traffic flow monitoring, analysis and prediction, which could be used as a part of an intelligent transportation system .
Tracking a Vehicle Moving in a Wireless Sensor Network
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2010
This paper deals with the problem of tracking a radio controlled vehicle (RCV) fitted with LED's moving within a wireless sensor network (WSN). The WSN test bed is made up of a number of Mica2 motes with fixed and know locations and equipped with light sensors. To reduce the overload of communications, power consumption, and allow for scalability, the network is divided into clusters, where members of each cluster communicate with the designated cluster head, which in turn communicates with a sink or another cluster head. When the RCV moves within the motes, a mote in the immediate vicinity of the vehicle becomes 'hot', i.e., its intensity exceeds a predetermined threshold, and it relays to its cluster head its ID and the intensity of its reading. The cluster head, in turns, establishes the location of 'hottest' mote, and uses this information to dynamically update the new location of the vehicle along with its velocity and acceleration.
A Proposed Framework for Realtime Monitoring of Speed and Location of a Vehicle
The working man commutes to work and other destinations on a daily basis by various means of transport. One such popular means is by the use of cabs. In cities, several companies enable such commuters to avail the services of daily vehicle hiring from one location to another. Safety of the passenger being the most important criteria, it is important for the fleet management company to be able to monitor the vehicle in which the passenger in seat, in real-time. Our research proposes a simulated system using a speed sensor and a GPS module and a microcontroller to fetch the data and view the vehicle's speed and location coordinates on a smartphone.
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This paper presents a wireless local area network (WLAN)-based real time system for indoors and outdoors vehicle localization. The proposed solution uses a neural network trained with a map of received power fingerprints from WLAN Access Points (APs) surrounding the vehicle. The practical implementation of the system is described and results from an outdoor experimental testbed are analyzed to address
Calculating the Speed of Vehicles Using Wireless Sensor Networks
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016
Speed measurement is an important issue for some types of Wireless Sensor Networks (WSN), especially for Vehicular Ad-hoc Networks (VANETs). However, calculating this value is error-prone and costly. This report intends to demonstrate the calculation of speed of an object without the use of any additional devices or sensor boards, only using Received Signal Strength Indication (RSSI) for localization of the vehicles and time calculation using synchronization. We implemented these methods in actual IRIS motes, and tested them. The results show that, while not perfectly accurate, our method proved to be reliable and close to the real speed. In addition, the results do not have any linear correlation in divergence of real speed and calculated speed, which means the system avoids systematic errors.
Wireless traffic system with speed control
2010
This paper explores the possibility of providing traffic control signals through radio frequency (RF) transmission or by other means of wireless data communication and thereby reduce road accidents. Additional advantages can be reducing the car speed or stopping car at speed breakers, no entry zones or police barricade. This system if adopted by some state can effectively reduce the number of road accidents caused by speeding vehicles Losing control of the vehicle at speed breakers or by driver's negligence towards traffic signals. The primary model of this system consists of a microcontroller controlled RF transceiver module, electronic controller unit (ECU) used in vehicles. In the system proposed the traffic sign boards including control signals are replaced with RF transmitters transmitting the specified coded data(about the traffic signal) for the traffic control receiver unit integrated in the in the car where the receiver unit is connected to the ECU and to display unit on the dashboard of the car which on coming in vicinity of the particular traffic signal transmitter starts displaying the very traffic signal on the displaying unit. For some specific signals, of the likes of speed breaker, police barricade it asks for response for the driver in specified time duration such as to reduce speed or stop down, if the driver does not respond in the required manner the controller unit takes control of car transmission and performs the specified operation.