TRAFFIC ACCIDENT FORECAST SYSTEM, AND ACCIDENT FORECAST METHOD

PROBLEM TO BE SOLVED: To forecast accidents on roads with higher accuracy, and to minimize a calculation load.SOLUTION: An accident forecast system according to an embodiment comprises: an accident forecast table preparation processing unit; a traffic data acquisition processing unit; and an acciden...

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Bibliographic Details
Main Authors OBA YOSHIKAZU, SHIMOKAWA YUSUKE, SHIROTA TAKAHIRO, TANIMOTO TOMOHIKO
Format Patent
LanguageEnglish
Japanese
Published 31.08.2017
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Summary:PROBLEM TO BE SOLVED: To forecast accidents on roads with higher accuracy, and to minimize a calculation load.SOLUTION: An accident forecast system according to an embodiment comprises: an accident forecast table preparation processing unit; a traffic data acquisition processing unit; and an accident forecast processing unit. The accident forecast table preparation processing unit is configured to learn an accident occurrence pattern on a predetermined learning algorithm using past traffic data and past accident data for each prescribed aggregation of sections about a plurality of roads of which each is divided into a plurality of sections; and prepare an accident forecast table expressing easiness of accident occurrence for each traffic state. The traffic data acquisition processing unit is configured to acquire current traffic data from a sensor measuring the traffic state for each section, and the accident forecast processing unit is configured to forecast the easiness of the accident occurrence, using the current traffic data on the section for each section and the accident forecast table corresponding to the section therefor.SELECTED DRAWING: Figure 1 【課題】道路における事故をより高精度で予報することとともに、計算負荷を小さく抑えること。【解決手段】実施形態における事故予報システムは、事故予報用テーブル作成処理部と、交通データ取得処理部と、事故予報処理部と、を備える。事故予報用テーブル作成処理部は、それぞれが複数の区間に分けられている複数の道路に関して、前記区間の所定の集合ごとに、過去交通データと過去事故データを用いて所定の学習アルゴリズムに基づいて事故発生パターンを学習して、交通状況ごとの事故の発生しやすさを表す事故予報用テーブルを作成する。交通データ取得処理部は、前記区間ごとに、交通状況を計測するセンサから現在交通データを取得する。事故予報処理部は、前記区間ごとに、当該区間の前記現在交通データ、および、当該区間に対応する前記事故予報用テーブルを用いて、事故の発生しやすさを予報する。【選択図】図1
Bibliography:Application Number: JP20160031230