A novel computational approach to gas dynamic analogous exposure without observable collision angles

Ruotong Wang; Haoran Tang; Qianqian Wang; Zhejun Huang; Lili Yang

doi:10.1117/12.3023967

14 February 2024 A novel computational approach to gas dynamic analogous exposure without observable collision angles

Ruotong Wang, Haoran Tang, Qianqian Wang, Zhejun Huang, Lili Yang

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130184U (2024) https://doi.org/10.1117/12.3023967
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

This work focuses on applying Gas Dynamic Analogous Exposure (GDAE) to assess exposure levels in traffic areas. The original GDAE method faced challenges in obtaining accurate vehicle collision angle parameters. To address this, we develop innovative enhancements without needing observable angles. First, we classify and discard irrelevant interaction angles between vehicles. We then segment angles based on intersection situations within a cycle, and estimate them separately. Next, we apply the GDAE calculation method on the estimated angles. Finally, we demonstrate the utility of our approach by applying it to Didi traffic data. Results show significant improvements in the accuracy and applicability of GDAE for evaluating exposure levels in traffic areas. This has the potential to enhance road safety strategies and inform traffic management policies.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ruotong Wang, Haoran Tang, Qianqian Wang, Zhejun Huang, and Lili Yang "A novel computational approach to gas dynamic analogous exposure without observable collision angles", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130184U (14 February 2024); https://doi.org/10.1117/12.3023967

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