Earticle

코로나 이후 수요가 증가한 여행 수요에 필수적인 일정과 경로 관리를 좀 더 편안하고 효과적으로 다루기 위해서 여행관리어플 여행우산을 개발하였다. 기존 다른 여행 관련 어플리케이션에 있는 기능을 더 효율적으로 개선하여 더 효 율적인 일정을 생성할 수 있고 여행준비에 필요 체크리스트, 가계부 기능을 제공한다. 그리고 다른 이용자들과 함께 방문 했던 장소, 여행계획을 공유할 수 있는 공간을 만들어 여행 준비에 있어서 더 편리하고 안정적인 경험을 제공할 수 있다.

It was developed to more comfortably and effectively handle schedule and route management, which is essential for travel demand that has increased after COVID-19. By improving the functions of other existing travel-related applications to be more efficient, it is possible to create a more efficient schedule and provides checklist and household account book functions necessary for travel preparation. Additionally, by creating a space where you can share places you have visited and travel plans with other users, you can provide a more convenient and stable experience in preparing for travel.

This paper focuses on AGV scheduling and path planning of automatic transport system. Using the topological modeling method to build an electronic map; based on A* (A-Star) algorithm and complex scheduling strategies to solve single AGV path planning, this paper presents a one-way graph path based planning algorithm which solves the problem of multi-AGV path planning, avoids system conflicts and enhances system stability. And the algorithm is verified by the AGV automatic transport management system, which is based on VC++6.0 and SQL Server.

Automatic Guided Vehicle Systems feature battery powered driverless vehicles with programming capabilities for path selection and positoning. Vehicles serve the machines in shop, following a guide path system installed on the shop floor. The basic problem in the system is to determine a fixed set of vehicle routes of minimal total distance(time) while keeping capacity and distance(time) constraints. In this paper, a heuristic algorithm is presented for scheduling the automatic guided vehicles. The algorithm routes the machines based on their distances and polor coordinate angles, taking into account the structural feature of the system. Computational experiments are performed on several test problems in order to evaluate the proposed algorithm. Finally, a framework for dealing with the case where supplies from the machines are probabilistic is described.

본 논문에서는 요구사항 기반 신뢰성 자동 테스트를 하기 위해서 테스트 수행기를 구현하고, 테스트 수행기 내부의 스케줄링 방법을 제안하였다. 제안한 방법으로 상용 FATC를 테스트한 결과 이산적으로 모델링할 수 있는 임베디드 시스템에서는 잘 동작함을 확인할 수 있었다.