Academic Journal of Computing & Information Science, 2021, 4(2); doi: 10.25236/AJCIS.2021.040207.
Siyu Zhao, Jin Zhu
Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China
To improve the loading and unloading efficiency of container terminals, the operation of the automated guided vehicle AGV is the key. However, the path planning, charging, resource allocation and other issues that exist in the operation of AGV have affected the efficiency of the automated terminal. Therefore, it is necessary to establish an effective data model, plan the best driving path, and realize the conflict-free charging and operation of the AGV. Experiments have proved that when charging is considered, it can reduce the running time of the AGV between the quay crane and the yard bridge, increase the operating speed of the AGV vehicle, and improve the operating efficiency of the automated terminal.
automated container terminal, automatic guided vehicle (AGV), AGV charging, route planning, running time
Siyu Zhao, Jin Zhu. Research on the Planning of High-efficiency Shortcut Path for Rechargeable AGV. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 2: 34-43. https://doi.org/10.25236/AJCIS.2021.040207.
[1] Huo Kaige, Zhang Yaqi, Hu Zhihua. (2016) Research on Multi-load AGV Scheduling Problems in Automated Container Terminals. Journal of Dalian University of Technology, 56(3), 36-38.
[2] Tai Yingpeng, Xing Kexin, Lin Yegui, Zhang Wenan. (2017) Research of Path Planning in Multi-AGV System. Computer Science, 44(z2), 84-87.
[3] Zhang Suyun and Yang Yongsheng. (2017) Research on Optimal Control of Multi-AGV Path Conflict in Automated Terminals. Transportation System Engineering and Information, 17(2), 14-19.
[4] Zhong Meisu, Yang Yongsheng. (2019) Speed Controlled Automated Terminal AGV Conflict-Free Path Planning. Computer Science, 46(7), 90-95.
[5] Zhou Xiaofan, Chang Daofang, Yu Fang, Gao Yinping. (2019) Container Terminal AGV Scheduling Considering Charging and Waiting Time. Journal of Shanghai Maritime University, 40(3), 29-32.
[6] Cheng Congcong, Liang Chengji. (2019) Research on AGV Scheduling Optimization Problem Considering AGV Partner in Automated Container Port. Computer Application Research, 36(8), 78-81.
[7] Fan Houming, Yue Lijun, Li Dang, Ma Mengzhi. (2020) AGV Configuration and Scheduling Optimization Considering Path Conflict. Operations Research and Management, 29(5), 10-13.
[8] Yang Yajie, Chang Daofang, Yu Fang. (2020) Multi-resource Collaborative Scheduling of Automated Terminals Considering AGV Collision Avoidance. Computer Engineering and Applications, 56(6), 69-73.
[9] EWGENIJ G, MAX K, ROLF H M, et al. (2012) Conflict-free vehicle routing Load balancing and deadlock prevention. EURO Journal on Transportation and Logistics, 1(1), 87-111.
[10] UMAR U A, ARIFFIN M K A, ISMAIL N, et al. (2012) Priority- based genetic algorithm for conflict- free automated guided vehicle routing. Procedia Engineering, (50), 732-739.