Continuous time based network flow interception model and algorithm——A case study of preventive drunk driving interception problem

Zhu Huagui, Qiao Lianbao

Science Research Management ›› 2012, Vol. 33 ›› Issue (11) : 89-95.

PDF(975 KB)
PDF(975 KB)
Science Research Management ›› 2012, Vol. 33 ›› Issue (11) : 89-95.

Continuous time based network flow interception model and algorithm——A case study of preventive drunk driving interception problem

  • Zhu Huagui, Qiao Lianbao
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Abstract

A continuous time typed network flow interception problem has been proposed; a preventive drunk driving interception model has been developed with the goal for protecting entire traffic network. According to the characteristics of the problem, a time based iterative improved algorithm and Lagrange heuristic algorithm for discrete site selection problem are devised, respectively, they are applied to the random instances in order to test the performance. The computational result indicates that by separating the continuous time variable from the discrete site selection variable, the original problem could finally be resolved by solving a series of covering problems. The iterative improved algorithm is more powerful in time search, therefore the problem is able to solve in few iteration times.

Key words

flow interception problem / preventive site selection / algorithm / continuous time

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Zhu Huagui, Qiao Lianbao. Continuous time based network flow interception model and algorithm——A case study of preventive drunk driving interception problem[J]. Science Research Management. 2012, 33(11): 89-95

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