Title: Network optimisation for improving security and safety level of dangerous goods transportation based on cloud computing

Authors: Haixing Wang; Guiping Xiao; Zhen Wei; Tao Hai

Addresses: Beijing Jiaotong University, Beijing, China ' Beijing Jiaotong University, Beijing, China ' Beijing Jiaotong University, Beijing, China ' Beijing Jiaotong University, Beijing, China

Abstract: Network optimisation for improving security and safety level of dangerous goods transportation (NOISSLDGT) belongs to NP-hard problems with strict constraints, and that makes it harder to solve. In order to dealing with NOISSLDGT, an improved risk analysis which combining the features and factors was devised. A network optimisation model to minimise the total cost was established considering the network capacity and the maximum risk limits. The problem has been discussed with LINGO first. Furthermore, the cloud computing technology is introduced, and the task scheduling in cloud computing environment was analysed. Based on cloud computing task scheduling, a detailed design of the simulated annealing algorithm (SAA) was presented. An example was analysed to demonstrate that the improved algorithms are efficient and feasible in solving NOISSLDGT.

Keywords: LINGO; simulated annealing algorithm; SAA; improving security and safety level of dangerous goods transportation; cloud computing.

DOI: 10.1504/IJICS.2019.098204

International Journal of Information and Computer Security, 2019 Vol.11 No.2, pp.160 - 177

Received: 25 Aug 2016
Accepted: 13 Apr 2017
Published online: 06 Mar 2019 *

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