Fine-tuning ADAS algorithm parameters for optimizing traffic safety and mobility in connected vehicle environment

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• 作者：Hao Liu^a ; Heng Wei^a ; ^{heng.wei@uc.edu} ; Ting Zuo^a ; Zhixia Li^b ; Y. Jeffrey Yang^c
• 关键词：Advanced Driver Assistance System (ADAS) ; Driver behavior modeling ; Microscopic traffic flow modeling ; Traffic safety and mobility optimization
• 刊名：Transportation Research Part C: Emerging Technologies
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：76
• 期：Complete
• 页码：132-149
• 全文大小：2160 K
• 卷排序：76

文摘

Methodology for depicting the impact of the ADAS on individual drivers’ driving behaviors. Aggregated influence of the ADAS depicted by traffic safety and mobility measures. Identification of the optimal ADAS algorithm parameters that enables the maximization of the safety and mobility performance.