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 (ABC) communication is an essential requirement for intelligent transportation system. In this paper, we propose a cognitive vertical handover (CVHO) engine to ensure seamless connectivity on the move. Analytic hierarchy process and artificial neural network are used for the development of the algorithm and MATLAB is used as simulation platform. The CVHO engine, which is knowledge based context aware system, takes into account multiple relevant criteria and previous experiences. This system is capable of performing both voluntary and reflex actions. A detailed literature review is presented to compare this work with the conventional methods of vertical handover. A case study, considering the network selection in a typical highway traffic scenario, which consists of both peer-to-peer (P2P) and mobile networks, is presented for the validation of the design. Three radio access technologies, WLAN (P2P), UMTS and WiMAX (mobile networks), are considered for simulation. The results show that the presented model not only realistically optimizes the best available network on the move but also avoids unnecessary handovers. This algorithm is specific to vehicular communication system and hence variation in network selection with vehicle speed is shown.
    Peer-to-Peer Networking and Applications 09/2012; 6(3). DOI:10.1007/s12083-012-0171-5
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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.