A Route Search System Considering Urgency and Efficient Coverage Without Complete Information
Masaki Matsubara, Yuta Nakamura, Nobutaka Suzuki, Munenari Inoguchi, Atsuyuki Morishima · 2019
Path planning to visit all nodes in a graph with deadlines has applications such as the route search for shooting aerial photography in a natural disaster. In such applications, we need to calculate the route that covers all graph nodes as efficiently as possible while satisfying the urgency requirements. This paper proposes a system to find routes in such a situations. In our system, information on the urgency (the deadline for visiting each node) is not necessarily fully known in advance and can be updated at any time, and we cannot totally optimize the route in advance. Therefore, we devised a greedy method tries to go to the nodes with high urgency while keeping all of the remaining nodes being directly connected to each other. Our preliminary experiments show that the proposed method is better in the performance than the simple greedy method that does not consider the factor; the proposed method was 29.42% better to the simple greedy method in terms of missed deadlines and 36.52% better in terms of the total flight time.