Intelligent Transportation System (ITS)

Information Fusion (Impact Factor: 3.47). 01/2011; 12(1):2-3. DOI: 10.1016/j.inffus.2010.06.003
Source: DBLP

ABSTRACT In intelligent transportation systems (ITS), transportation infrastructure is complimented with information and communication technologies with the objectives of attaining improved passenger safety, reduced transportation time and fuel consumption and ...

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    ABSTRACT: Always best connected" communication is the principal requirement for Intelligent Transportation System (ITS), which is a subset of 4G, to ensure vehicular safety. The next generation communication is characterized by heterogeneous radio access networks. The heterogeneous co-existence of access technologies with largely different characteristics creates a decision problem for determining best available network at a particular instant of time. A context aware vertical handover algorithm for vehicular communication is presented here. Integrated AHP (Analytic Hierarchy Process)-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is used for the development of algorithm and MATLAB/SIMULINK is used as simulation platform. Dynamic factors like received signal strength, and speed of the vehicle, static factors like initial delay for connection establishment, cost of service and user preference of application are considered. Sensitivity analysis is done to justify the design of the algorithm. This algorithm is specific to vehicular communication system and hence variation in network selection at different vehicle speed is shown. Key Words – Intelligent Transportation System (ITS), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), Software Defined Radio (SDR), Sensitivity Analysis, Analytic Hierarchy Process (AHP), Quality of Service (QoS).
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    ABSTRACT: Principal objective of this paper is to form the ISAR image of a complex target using 76GHz long range radar (LRR). Modeling of point target is done and the idea is extended to model a complex target (vehicle). Simulation is performed in MATLAB platform. The sample points are generated using Graphical User Interface (GUI) of MATLAB. These sample points are processed using Nearest Neighbor Approximation interpolation technique. This ISAR imaging can be used for object classification and will be applicable to intelligent transportation systems (ITS) for adaptive cruise control (ACC) and hence to avoid collision.
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    ABSTRACT: Vehicular wireless communication for real-time or emergent events notification is an important issue in VANETs. In this article we construct an integrated architecture for the implementation of dynamic routing/navigation application in VANET environment using iWCU®- a WAVE/DSRC device developed by ITRI1 of Taiwan. The Dynamic navigation field test in VENET using a WAVE/DSRC On-board-Unit(OBU) and a WAVE/DSRC Road-Side-Unit(RSU) as the network node is examined. OBU provides dynamic navigation service for driver when receiving the real-time traffic information from RSU. The loopback detection method is adopted to detect re-broadcasting packets when a forward request in real-time needed in this study. As result, real-time packets transmission for dynamic navigation application with high mobility situations are delivered efficiently in testing results. Industrial Technology Research Institute.
    Computer Symposium (ICS), 2010 International; 01/2011
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