Research on path design and collision avoidance strategy of automated guided vehicle transportation system

Jie Ni

doi:10.1117/12.2614389

10 November 2021 Research on path design and collision avoidance strategy of automated guided vehicle transportation system

Jie Ni

Author Affiliations +

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 120502E (2021) https://doi.org/10.1117/12.2614389
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

The automated guided vehicle (AGV) is an automated container terminal horizontal transportation tool. The vehicle monitors the position information in real time through its own sensors and transmits it to the central control sy stem, and carries out container transportation according to the pre-planned route and set stopping point. This paper conducts research on this transportation system. First, the shortest path optimization problem is transformed into a linear programming model aiming at the shortest time. Matlab is used to solve the problem to determine the reasonable number of AGVs and transportation routes for a specific size port. The results show that, among the set node tasks, the transportation efficiency is the highest when five AGVs work in the system simultaneously. Secondly, the braking process is analyzed and different alarm strategies of different risk levels are formulated to implement braking measures to achieve safe obstacle avoidance.

Citation Download Citation

Jie Ni "Research on path design and collision avoidance strategy of automated guided vehicle transportation system", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 120502E (10 November 2021); https://doi.org/10.1117/12.2614389

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