Levenberg–Marquardt –LSTM based Efficient Rear-end Crash Risk Prediction System Optimization

2021 ◽  
Author(s):  
D. Deva Hema ◽  
K. Ashok Kumar
Keyword(s):  
Risk Prediction ◽  
System Optimization ◽  
Crash Risk ◽  
Prediction System ◽  
Levenberg Marquardt

A Fall Risk Prediction System Based on 3D Space Human Skeleton Torso Images

2021 ◽  
Author(s):  
Wan-Jung Chang ◽  
Liang-Bi Chen ◽  
Jian-Ping Su ◽  
Ming-Che Chen ◽  
Tzu-Chin Yang
Keyword(s):  
Risk Prediction ◽  
Fall Risk ◽  
Prediction System ◽  
Human Skeleton ◽  
3D Space

Active traffic management strategies for expressways based on crash risk prediction of moving vehicle groups

2021 ◽  
Vol 163 ◽  
pp. 106421
Author(s):  
Wanjing Ma ◽  
Ziliang He ◽  
Ling Wang ◽  
Mohamed Abdel-Aty ◽  
Chunhui Yu
Keyword(s):  
Risk Prediction ◽  
Traffic Management ◽  
Management Strategies ◽  
Crash Risk ◽  
Moving Vehicle

An Intelligent Risk Prediction System for Breast Cancer Using Fuzzy Temporal Rules

2018 ◽  
Vol 42 (3) ◽  
pp. 227-232 ◽  
Author(s):  
U. Kanimozhi ◽  
S. Ganapathy ◽  
D. Manjula ◽  
A. Kannan
Keyword(s):  
Breast Cancer ◽  
Risk Prediction ◽  
Prediction System

scholarly journals Regional Collision Risk Prediction System at a Collision Area Considering Spatial Pattern

2021 ◽  
Vol 9 (12) ◽  
pp. 1365
Author(s):  
Ho Namgung ◽  
Joo-Sung Kim
Keyword(s):  
Spatial Pattern ◽  
Risk Prediction ◽  
Fuzzy Inference System ◽  
Prediction Models ◽  
Fuzzy Inference ◽  
Risk Index ◽  
Prediction System ◽  
Collision Risk ◽  
Inference System ◽  
Optimal Decisions

To reduce the risk of collision in territorial sea areas, including trade ports and entry waterways, and to enhance the safety and efficiency of ship passage, the International Maritime Organization requires the governing body of every country to establish and operate a vessel traffic service (VTS). However, previous studies on risk prediction models did not consider the locations of near collisions and actual collisions and only employed a combined collision risk index in surveillance sea areas. In this study, we propose a regional collision risk prediction system for a collision area considering spatial patterns using a density-based spatial clustering of applications with noise (DBSCAN). Furthermore, a fuzzy inference system based on a near collision (FIS-NC) and long short-term memory (LSTM) is adopted to help a vessel traffic service operator (VTSO) make timely optimal decisions. In the local spatial pattern stage, the ship trajectory was determined by identifying the actual-collision and near-collision locations simultaneously. Finally, the system was developed by learning a sequence dataset from the extracted trajectory of the ship when a collision occurred. The proposed system can recommend an action faster than the fuzzy inference system based on the near-collision location. Therefore, using the developed system, a VTSO can quickly predict ship collision risk situations and make timely optimal decisions at dangerous surveillance sea areas.

Proactive crash risk prediction modeling for merging assistance system at interchange merging areas

2020 ◽  
Vol 21 (3) ◽  
pp. 234-240 ◽  
Author(s):  
Xin Gu ◽  
Qing Cai ◽  
Jaeyoung Lee ◽  
Qiaojun Xiang ◽  
Yongfeng Ma ◽  
...  
Keyword(s):  
Risk Prediction ◽  
Assistance System ◽  
Crash Risk ◽  
Prediction Modeling
Sign in / Sign up

Export Citation Format

Share Document