Scenario Analysis of Near-miss Incidents to Enhance Pedestrian Collision Warning System Nihon University

Format:

Conference/Event

Author/Creator:

Takanashi, Takanashi, author.

Contributor:

Asada, Hiroyuki

Honda, Shinichiro

Mimuro, Tetsushi

Tsukahara, Toshiya

Conference Name:

18th Asia Pacific Automotive Engineering Conference (2015-03-10 : Melbourne, Australia)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2015

Summary:

AbstractFirst, this paper focuses on classification of near-miss incidents with pedestrian into typical scenarios, and then incident data are analyzed under the assumption that pedestrian detection system has a pre-determinant sensing performance.The data of 220 near-miss incidents with pedestrian when own vehicle goes straight are employed. We proposed a set of eight scenarios which structure is not necessarily hierarchical. The eight scenarios cover about 75% of the incidents.To highlight the characteristics of the eight scenarios, two kinds of vector-diagrams are introduced which illustrate the transition of relative position between pedestrian and own-vehicle, and TTC-TTV (Time To Collision - Time To Vehicle) relation respectively. For example, in a relative position diagram, we can grasp the pedestrian's relative position which the detection system finds the pedestrian first when he/she appeared with pre-determinant wide detection angle. In TTC-TTV diagram, we can observe that the own-vehicle and the pedestrian approach each other maintaining a safe collision gap (difference between TTC and TTV) or not. After the analysis of the scenarios using vector diagram, we also discuss the effectiveness of these scenarios from the aspects of speed profile of own-vehicle, because the car speed is one of the most important factors which characterize near-miss incidents.From these analyses and discussions using the vector diagrams, the characters of each scenario become apparent. Scenario analysis shown in this paper must contribute to development of pedestrian collision warning system which aims to reduce pedestrian accidents

Notes:

Vendor supplied data

Publisher Number:

2015-01-0032

Access Restriction:

Restricted for use by site license