Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics)
Online ISSN : 2185-6591
ISSN-L : 2185-6591
Paper (In Japanese)
INTEGRATED SYSTEM WITH MACHINE LEARNING FOR COLLECTING ROAD CHANGE EVENTS
Wataru KOBAYASHIYoshihide SEKIMOTORyosuke SHIBASAKI
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JOURNAL FREE ACCESS

2017 Volume 73 Issue 1 Pages 40-54

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Abstract
 Road users desire that changes in roads are quickly reflected to maps and car navigation systems. Therefore, Cartographers collect information about roads into service and road openings (road change events) from all over the country at an early date. On the other hand, road administrators make official notices based on the Road Law at the start of service of the road and decision / change of the road area, and orderers of the road construction manage the information of the construction for the proper execution of public works. If these administrative information can be used to grasp the information about road change events, it will be possible to improve the efficiency of information gathering for reliable map updating. In this research, we propose a method to associate information related to road change events, and investigated the actual circumstances surrounding the information about road changes by this method. Based on the survey, we estimated the prediction of opening from construction and evaluated its possibilities. In addition, we built an integrated system which was able to visualize information, and are promoting activities about open data related to road change events.
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© 2017 Japan Society of Civil Engineers
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