simcenter prescan software (Siemens AG)
90
Structured Review
Siemens AG
simcenter prescan software
Simcenter Prescan Software, supplied by Siemens AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/simcenter+prescan+software/simcenter+prescan+software/pm39571528-137-6-9
Average 90 stars, based on 1 article reviews
Simcenter Prescan Software, supplied by Siemens AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/simcenter+prescan+software/simcenter+prescan+software/pm39571528-137-6-9
Average 90 stars, based on 1 article reviews
simcenter prescan software - by Bioz Stars,
2026-10
90/100 stars
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Software:Article Title: V-FCW: Vector-based forward collision warning algorithm for curved road conflicts using V2X networks. Article Snippet: Accident Analysis and Prevention 210 (2025) 107836 A 0 Contents lists available at ScienceDirect Accident Analysis and Prevention journal homepage: www.elsevier.com/locate/aap V-FCW: Vector-based forward collision warning algorithm for curved road conflicts using V2X networks✩ Xiangpeng Cai a, Bowen Lv c, Hanchen Yao b, Ting Yang a, Houde Dai b,d,∗ a College of Transportation and Navigation, Quanzhou Normal University, Donghai Street 398, Quanzhou 362046, Fujian, China b Quanzhou Institute of Equipment Manufacturing, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Xidong Road 166, Jinjiang 362216, Fujian, China c College of Engineering and Design, Hunan Normal University, Lushan Road 36, Changsha 410081, Hunan, China d Fujian Key Laboratory of Special Intelligent Equipment Safety Measurement and Control, Fujian Special Equipment Inspection and Research Institute, Rubin Road 370, Fuzhou 350008, Fujian, China A R T I C L E I N F O Keywords: Forward collision warning Cellular vehicle-to-everything (C-V2X) Curved road conflict A B S T R A C T The implementation of advanced driver assistance systems (ADAS) has significantly impacted the prevention of traffic accidents, particularly through the forward collision warning (FCW) algorithm.. Nevertheless, traffic conflicts on traffic routes remain a significant issue, since most FCW algorithms cannot accurately determine the distance between the host vehicle (HV) and remote vehicle (RV) on curved roads.. Hence, this study proposes a vector-based FCW (V-FCW) algorithm to address the issue of false warnings on unconventional road sections. |