An optimization model of UAV route planning for road segment surveillance

1. COIFMAN B, MCCORD M, MISHALANI R. Surface transportation surveillance from unmanned aerial vehicles [C]// Transportation Research Board of the National Academies. Washington D C: National Research Council, 2004: 321–335.

   Google Scholar 

2. KENZO N. Prospect and recent research and development for civil use autonomous unmanned aircraft as UAV and MAV [J]. Journal of System Design and Dynamics, 2007, 1(2): 120–128.

   Article  Google Scholar 

3. PENG Zhong-ren, LIU Xiao-feng, ZHANG Li-ye, SUN Jian. Research progress and prospect of UAV applications in transportation information collection [J]. Journal of Traffic and Transportation Engineering, 2012, 12(6): 119–126. (in Chinese)

   Google Scholar 

4. HUTCHISON M G. A method for estimating range requirements of tactical reconnaissance UAVs [C]// Proceedings of AIAA’s 1st Technical Conference and Workshop on Unmanned Aerospace Vehicles. Virginia: AIAA, 2002: 1–12.

   Google Scholar 

5. TIAN Jing, SHEN Lin-cheng, ZHENG Yan-xing. Genetic algorithm based approach for multi-UAV cooperative reconnaissance mission planning problem [C]// International Symposium on Methodologies for Intelligent Systems. Berlin: Springer, 2006: 101–110.

   Google Scholar 

6. YAN Qin-yu, PENG Zhong-ren, CHANG Yun-tao. Unmanned aerial vehicle cruise route optimization model for sparse road network [C]// Transportation Research Board of the National Academies. Washington D C: National Research Council, 2011: 432–445.

   Google Scholar 

7. LIU Xiao-feng, CHANG Yun-tao, WANG Xun. A UAV allocation method for traffic surveillance in sparse road network [J]. Journal of Highway and Transportation Research and Development, 2012, 29(3): 124–130. (in Chinese)

   Article  Google Scholar 

8. LIU Xiao-feng, PENG Zhong-ren, ZHANG Li-ye, LI Li. Unmanned aerial vehicle route planning for traffic information collection [J]. Journal of Transportation Systems Engineering and Information Technology, 2012, 12(1): 91–97.

   Article  Google Scholar 

9. LIU Xiao-feng, PENG Zhong-ren, CHANG Yun-tao, ZHANG Li-ye. Multi-objective evolutionary approach for UAV cruise route planning to collect traffic information [J]. Journal of Central South University, 2012, 19(12): 3614–3621.

   Article  Google Scholar 

10. FONSECA C M, FLEMING P J. Genetic algorithms for multiobjective optimization: formulation, discussion and generalization [C]// Proceedings of the Fifth International Conference on Genetic Algorithms. San Mateo: Morgan Kaufmann Publishers, 1993: 416–423.

    Google Scholar 

11. ZITZLER E, THIELE L. Multi-objective evolutionary algorithms: A comparative case study and the strength Pareto approach [J]. IEEE Transactions on Evolutionary Computation, 1999, 3(4): 257–271.

    Article  Google Scholar 

12. HORN J, NAFPLIOTIS N, GOLDBERG D E. A niched Pareto genetic algorithm for multiobjective optimization [C]// Proceedings of the First IEEE Conference on Evolutionary Computation. Piscataway: IEEE, 1994: 82–87.

    Google Scholar 

13. KNOWLES J, CORNE D. The Pareto archived evolution strategy: A new baseline algorithm for Pareto multiobjective optimization [C]// Proceedings of the 1999 Congress on Evolutionary Computation. Washington D C: IEEE, 1999: 98–105.

    Google Scholar 

14. SRINIVAS N, DEB K. Multi-objective optimization using nondominated sorting in genetic algorithms [J]. Evolutionary Computation, 1994, 2(3): 221–248.

    Article  Google Scholar 

15. DEB K, PRATAP A, AGARWAL S, DEB K, PRATAP A, AGARWAL S, MEYARIVAN T. A fast and elitist multi-objective genetic algorithm: NSGA-II [J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182–197.

    Article  Google Scholar 

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