Video database of evacuation behavior in abnormal traffic accidents

Xueming Xu; Ranlei Cao; Tong Chen; Nian Liu

doi:10.1117/12.2623904

6 February 2022 Video database of evacuation behavior in abnormal traffic accidents

Xueming Xu, Ranlei Cao, Tong Chen, Nian Liu

Proceedings Volume 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021); 120813J (2022) https://doi.org/10.1117/12.2623904
Event: Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 2021, Chongqing, China

Abstract

To simulate the evacuation behaviors of different people in abnormal traffic accidents, a new database, i.e., the video database of evacuation behaviors in abnormal traffic accidents is established by showing subjects videos with traffic accident images to simulate abnormal traffic accidents in a laboratory setting. The database includes non-evacuation behavior videos and evacuation behavior videos of 200 subjects, as well as the statistical results of survey inventories for these 200 subjects. The survey inventories include the State Anxiety Inventory(SAI), the State-Trait Anxiety Inventory (STAI), the Beck Depression Inventory (BDI), the Big Five Inventory (BFI), and an affective inventory corresponding to the experimental videos. This database should help develop effective algorithms to compare the evacuation behaviors of different people and suggest effective methods to deal with emergencies such as fires, explosions, and car accidents.

Citation Download Citation

Xueming Xu, Ranlei Cao, Tong Chen, and Nian Liu "Video database of evacuation behavior in abnormal traffic accidents", Proc. SPIE 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 120813J (6 February 2022); https://doi.org/10.1117/12.2623904

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