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• W2573633992 abstract "1 Limitations associated with traditional collision-based safety analysis techniques led to a growing interest 2 in the use of surrogate safety measures such as the traffic conflict technique. This interest has been 3 facilitated by advances in automated video-based data collection methods that are helping to overcome 4 the reliability issues associated with manual traffic conflict data collection. Various objective conflict 5 indicators are available to measure the severity of traffic events which measure various spatial and 6 temporal aspects of user proximity. These time proximity conflict measures assume that proximity is a 7 surrogate for conflict severity. However, this assumption may not be valid in many driving environments. 8 The objective of this paper is to investigate whether time-proximity conflict measures can be a good 9 indicator of safety in less organized traffic environments with a high mix of road users. A case study of 10 motorcycle conflicts in a highly congested shared intersection in Shanghai, China is used as a case study. 11 Traffic conflicts are analysed with the use of automated video-based analysis techniques. Several traffic 12 conflict indicators based on detecting evasive actions such as deceleration, jerk, and yaw-rate are 13 recommended to better measure traffic conflicts in such traffic environments. The results showed that 14 evasive action based indicators have higher potential to identify motorcycle conflicts in high mix, less 15 organized traffic environments than time proximity measures such as the time to collision. 16" @default.
• W2573633992 created "2017-01-26" @default.
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• W2573633992 date "2015-01-01" @default.
• W2573633992 modified "2023-09-26" @default.
• W2573633992 title "Can Time Proximity Measures Be Used as Safety Indicators in All Driving Cultures? A Case Study of Motorcycle Safety in China" @default.
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