Sensory Data Gathering for Road Traffic Monitoring: Energy Efficiency, Reliability, and Fault Tolerance
01 Jan 2015-pp 89-112
TL;DR: In this Chapter, a novel tree-based data gathering scheme has been proposed, exploiting the strip-like structure of the road network, and an efficient scheduling mechanism is implemented to assure both the coverage and the critical power savings of the sensor nodes.
Abstract: Vehicular traffic monitoring and control using through road sensor network is challenging due to a continuous data streaming over the resource constrained sensor devices. The delay sensitivity and reliability of the large volume of application data as well as the scarcity of sensor resources demand efficient designing of data collection protocol. In this Chapter, a novel tree-based data gathering scheme has been proposed, exploiting the strip-like structure of the road network. An efficient scheduling mechanism is implemented to assure both the coverage and the critical power savings of the sensor nodes. The network connectivity is guaranteed throughout by the proposed tree maintenance module that handles the dynamics of the network as a result of sensor node joining and leaving events. An application message controller has been designed that works cooperatively with the tree management module, and handles continuous streaming of the application data to ensure no loss or redundancy in data delivery. The performance of the proposed scheme is evaluated using the simulation results and compared with other approaches for large data collection in sensor network.
Citations
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16 Dec 2022
TL;DR: In this article , the authors proposed an efficient traffic monitoring system, which can detect the vehicle flow on the roads in real time, which has three made components including evaluating vehicle density that is based on background subtraction procedures.
Abstract: Traffic analysis true video monitoring is quite a complex job. The reason for the same include different appearances, light changes, and variation in speeds. This paper proposed an efficient traffic monitoring system, which can detect the vehicle flow on the roads in real time. This system has three made components including evaluating vehicle density that is based on background subtraction procedures. the second component evaluate the speed of the traffic flow using optical flow mechanism first up the third component includes evaluating the number of vehicles using improved differential approach. From the fundamental information extracted, our system can predict events such as high traffic zones, vehicles over speeding and many more. The simulation is conducted by using the traffic data set derived from Kaggle.
References
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12 Mar 2012
TL;DR: A scheme to apply Behavior Recognition in Road Detection (BRRD) by using VSNs on road using dynamic Bayesian network model to infer the road events according to vehicle behaviors recognized by sensing data is proposed.
Abstract: Transportation related environment and social problems become very imminent with rapid urban growth. Road detection aims to detect road anomalous events that endanger vehicle driving. Road detection using Vehicle Sensor Networks (VSNs) is a new method with many advantages, as vehicles become more and more popular nowadays. Data collected by vehicle sensor network is related with vehicle behaviors such as trajectories and driving models, etc. In this paper, we propose a scheme to apply Behavior Recognition in Road Detection (BRRD) by using VSNs on road. A dynamic Bayesian network model is used to infer the road events according to vehicle behaviors recognized by sensing data. Based on it, we propose group detection by utilizing collaborative filtering to improve detection performance. Our experiments on testbed of 3 remote controllable vehicles simulate transportation and few road condition scenarios. The results show that our solution provides effective detection with more than 91% accuracy, minor false positive and false negative.
9 citations
25 Mar 2008
TL;DR: This paper proposes an autonomous algorithm for tree creation and its maintenance that can extend the lifetime of the sensor network and support efficient data aggregation by balancing the communication tree structure automatically.
Abstract: In wireless sensor networks, it is useful to construct a tree communication network topology in order to effectively collect sensed data from sensor nodes at a sink node. In the tree, the sink node should be a root node, and all the data sensed in the sensor nodes are transferred to the sink node using the tree connections. Compared to other topologies such as the mesh and random topologies, the tree topology does not request any routing protocols because each route from a sensor node to the sink node is uniquely decided after the tree structure is constructed. In this paper, we propose an autonomous algorithm for tree creation and its maintenance. It can extend the lifetime of the sensor network and support efficient data aggregation by balancing the communication tree structure automatically. Moreover, our algorithm simply manages all the involved sensor nodes and creates a tree structure by using them. Thus, this algorithm can be applied to actual sensor networks along with other algorithms or protocols. After describing the algorithm, some experimental results are shown to prove its effectiveness and robustness.
7 citations
01 Jan 2007
TL;DR: Simulation results show that the proposed topology can save the node energy, extend the network lifetime, increase the network throughput and enhance the sink node's processing ability effectively.
Abstract: The monitoring application of wireless sensor network in road traffic is becoming wider. The traditional way always places the wireless sensor nodes randomly on roads to form the topology. By doing so, the energy of nodes is wasted and the throughput of the network is decreased. This paper proposes a new wireless sensor network topology for road traffic. The topology uses new data frame format and linear placement strategy to decrease the load of network and the transmission of redundant information. Simulation results show that the proposed topology can save the node energy, extend the network lifetime, increase the network throughput and enhance the sink node's processing ability effectively.
6 citations
TL;DR: In this study, the authors study the use of a few unreserved selected cars as a vehicular sensor network (VSN) to cover a defined area and in this scenario, the sensors movements are assumed to be random from the network viewpoint.
Abstract: Providing proper coverage is one of the main applications of wireless sensor networks. In many working environments, it is necessary to take advantage of mobile sensor networks (MSNs), with the capability of having cooperation between sensor nodes and moving into appropriate positions, to provide the required coverage. However, in some applications such as intelligent transport system (ITS), where sensors are applied in complex dense urban environments, traditional MSN cannot properly cover the defined area. In this study, the authors study the use of a few unreserved selected cars as a vehicular sensor network (VSN) to cover a defined area and in this scenario, the sensors movements are assumed to be random from the network viewpoint. In the proposed random structure VSN, the coverage property is managed and controlled by introducing a suggested method for resource allocation and coverage control based on the real vehicle mobility model. Major advantages of this VSN are considering the real car mobility model, compatibility with the deployed infrastructure and processing simplicity and efficiency. The implementation results of suggested method verify the analytical results that are mentioned in the simulation section.
5 citations
22 May 2003
TL;DR: In this paper, a three line scanner imaging system consisting of three-parallel one-dimensional CCD cameras mounted on the imaging plane with a stabilizer for shaking reduction during imaging flight is proposed.
Abstract: On-street traffic problems because of number of vehicles increasing in mega-cities around the world become more serve sharply year by year. To monitor and solve traffic problems on the long ranges, the intelligent transportation systems, ITS, are emerged simultaneously. The important and prevalent one of sub systems of ITS is the road monitoring by remote sensing techniques from both airborne and spaceborne sensors because image by remote sensor distributes a top-view and wide-area observation compared with other side-view sensor installed along the road such as video camera etc. and thus by remote sensor, nowadays, high-resolution images are available and distribute their merit for traffic problems in a variety of cases including the illegal parking. Especially, image from airborne sensor is the way to resolve without a problem of cloud-covered images with good weather and good visible time selected for image taking. Recently, three line scanner or TLS, novel airborne sensor, has emerged. Three line scanner imaging systems consisting of three-parallel one-dimensional CCD cameras mounted on the imaging plane with a stabilizer for shaking reduction during imaging flight. It obtains seamless high-resolution images (5-10 cm on the ground) with three viewing directions (forward, nadir, backward direction) simultaneously accurately with RTK-GPS and INS. With centimeter-order ground resolution and seamless imaging capability along the road, TLS image is very suitable to analyze traffic problems in the urban area of the mega city. Therefore the TLS application of the vehicle detection on the street in Mega City, here Tokyo has been developed under the advantage of three line scanner image and thus the framework of this research that, has been created, consists of three processing stages mainly: pre-processing, vehicle detect
4 citations