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In this paper, we propose a heuristic method trying to improve the efficiency of traffic systems in the global perspective, where the optimal traveling time for each origin-destination (OD) pair is calculated by extended Q value-based dynamic programming and the global optimum routes are produced by adjusting the temperature parameter in Boltzmann distribution. The key point is that the temperature...
Time related association rule mining is a kind of sequence pattern mining for sequential databases. In this paper, a generalized class association rule mining is proposed using genetic network programming (GNP) in order to find time related sequential rules more efficiently. GNP has been applied to generate the candidates of the time related association rules as a tool. For fully utilizing the potential...
In order to improve the efficiency of traffic systems in the global perspective, we proposed a dynamic routing strategy, where the optimal traveling time for each Origin-Destination (OD) pair is calculated by extended Q value-based Dynamic Programming and the global optimum routes are produced by adjusting the temperature parameter in Boltzmann distribution. In this paper, how to control the temperature...
Nowadays, many people depend on the guidance provided by car navigation devices to travel to the destination. Generally, several routes are possible for a given origin-destination (OD) in a road network. Often car navigation devices provide the minimum traveling time or distance route. However, this route may not always be comfortable for users to follow. Out of the several available routes, users...
The multiple origins multiple destinations routing (MOMDR) problem becomes extremely complicated when considering the traffic volumes on road sections. When solving this kind of problem, only heuristic algorithms have practical values because it is a typical NP-Hard problem. This paper applies Genetic Algorithm (GA) to enhance Sorting-Randomizing-Adjusting-Updating (SRAU) algorithm. The former paper...
An algorithm capable of finding important time related association rules and its application to classification systems have been described in this paper. We firstly describe a method of class association rule mining using genetic network programming (GNP) with time series processing mechanism in order to find time related sequence rules. Secondly, the classification system is applied to estimate to...
This paper introduces an iterative Q value updating algorithm based on dynamic programming for searching the optimal route and its optimal traveling time for a given origin-destination (OD) pair of road networks. The proposed algorithm finds the optimal route based on the local traveling time information available at each adjacent intersection. For all the intersections of the road network, Q values...
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