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• W2045449554 abstract "Intelligent transportation system (ITS) applications are expected to provide a more efficient, effective, reliable, andsafe driving experience, which can minimize road traffic congestion resulting in a better traffic flow management. Toefficiently manage traffic flows, in this paper, we compare the effectiveness of two well-known vehicle routingalgorithms: the Dijkstra's shortest path algorithm and the A* (Astar) algorithm in terms of the total travel time and thetravel distance. To this end, we built a generic ITS test-bed and created several real-world driving scenarios using fieldand simulation data to evaluate the performance of these two routing algorithms. The dataset used in our simulation is sixweeks traffic volume data from 08/01/2012 to 09/27/2012 in the Maryland (MD)/Washington DC and Virginia (VA)area. Our simulation data shows that an increase in network size results in scalability problems as the efficiency andeffectiveness of these algorithms diminishes in larger road networks with greater traffic volume densities, flow rates, andcongested conditions. In addition, the imprecision of the road network increases as the network size and the trafficvolume density increases. Our study shows that the ability of these vehicular routing algorithms to adaptively routetraffic depends on the size and type of road networks, and the current roadway conditions." @default.
• W2045449554 created "2016-06-24" @default.
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• W2045449554 date "2014-05-22" @default.
• W2045449554 modified "2023-09-24" @default.
• W2045449554 title "On an efficient and effective Intelligent Transportation System (ITS) using field and simulation data" @default.
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• W2045449554 doi "https://doi.org/10.1117/12.2050705" @default.
• W2045449554 hasPublicationYear "2014" @default.
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