Roadscape-based Route Recommender System Using Coarse-to-fine Route Search

Koji Kawamata, Kenta Oku
2019 Journal of Information Processing  
We propose Roadscape-based Route Recommender System (R3), which provides diversified roadscapebased routes. Given starting and destination points, R3 provides four types of roadscape-based routes: rural-, mountainous-, waterside-, and urban-prior routes. To reduce the computational cost, we propose a coarse-to-fine route search approach that consists of a roadscape-based clustering method, roadscape cluster graph, coarse-grained route search, and fine-grained route search. We evaluated the
more » ... rmance of R3 using network data for real roads. The experimental results qualitatively show the validity of the generated roadscape clusters by comparing them with Google satellite maps and Google Street View images. The results also show the validity of the roadscape-based route recommendations. Furthermore, the results show that using a coarse-grained route search can significantly reduce the route search time. Finally, we quantitatively evaluate R3 from the perspective of users. The results show that R3 can appropriately recommend roadscape-based routes for given scenarios.
doi:10.2197/ipsjjip.27.392 fatcat:ntxbt4ky3rbwbjxpdspyllybpu