Deriving a surrogate safety measure for freeway incidents based on predicted end-of-queue properties

2015 ◽  
Vol 9 (1) ◽  
pp. 22-29 ◽  
Author(s):  
Chih-Sheng Chou ◽  
Andrew P. Nichols
Keyword(s):  
Safety Measure ◽  
Freeway Incidents

Fuzzy ART Neural Network Model for Automated Detection of Freeway Incidents

1998 ◽  
Vol 1634 (1) ◽  
pp. 56-63 ◽  
Author(s):  
Sherif S. Ishak ◽  
Haitham M. Al-Deek
Keyword(s):  
Neural Networks ◽  
False Alarm ◽  
False Alarm Rate ◽  
Back Propagation ◽  
Incident Detection ◽  
Traffic Patterns ◽  
Traffic Pattern ◽  
Detection Algorithms ◽  
Fuzzy Art ◽  
Freeway Incidents

Pattern recognition techniques such as artificial neural networks continue to offer potential solutions to many of the existing problems associated with freeway incident-detection algorithms. This study focuses on the application of Fuzzy ART neural networks to incident detection on freeways. Unlike back-propagation models, Fuzzy ART is capable of fast, stable learning of recognition categories. It is an incremental approach that has the potential for on-line implementation. Fuzzy ART is trained with traffic patterns that are represented by 30-s loop-detector data of occupancy, speed, or a combination of both. Traffic patterns observed at the incident time and location are mapped to a group of categories. Each incident category maps incidents with similar traffic pattern characteristics, which are affected by the type and severity of the incident and the prevailing traffic conditions. Detection rate and false alarm rate are used to measure the performance of the Fuzzy ART algorithm. To reduce the false alarm rate that results from occasional misclassification of traffic patterns, a persistence time period of 3 min was arbitrarily selected. The algorithm performance improves when the temporal size of traffic patterns increases from one to two 30-s periods for all traffic parameters. An interesting finding is that the speed patterns produced better results than did the occupancy patterns. However, when combined, occupancy–speed patterns produced the best results. When compared with California algorithms 7 and 8, the Fuzzy ART model produced better performance.

Toward Training-Free Automatic Detection of Freeway Incidents

2012 ◽  
Vol 2278 (1) ◽  
pp. 42-49 ◽  
Author(s):  
Manoel M. Castro-Neto ◽  
Lee D. Han ◽  
Young-Seon Jeong ◽  
Myong K. Jeong
Keyword(s):  
Automatic Detection ◽  
Freeway Incidents

A Study to assess the Effectiveness of Information Booklet on Knowledge regarding First aid and Safety Measure among Early Adolescent age (10 – 14 years) Children in selected schools at Udaipur

2021 ◽  
pp. 328-330
Author(s):  
Navin Soni ◽  
Jayesh Soni
Keyword(s):  
Standard Deviation ◽  
School Children ◽  
Statistical Significance ◽  
First Aid ◽  
Safety Measure ◽  
Early Adolescent ◽  
Safety Measures ◽  
Instructional Module ◽  
Post Test ◽  
The Mean

Introduction: Basic first aid knowledge helps children to deal with emergency situations. Everyone needs to teach children about being mentally prepared for emergencies. Children should be taught about different first aid measures, both at home and at school, which helps emphasize the importance of child safety. This enables them overcome difficult situations like injuries, burns and outdoor emergencies. First aid is all about using common sense in the hour of need. Objectives of the study: To evaluate the effectiveness of self Instructional module by comparing the pretest and post test knowledge of school children. Method and Material: quantitative pre experimental one group pre test post test research design was used. by using Simple random sampling technique. This study was also done on 120 samples; data was collected by semi structured questionnaire to assess the knowledge regarding First aid and safety measure among Early Adolescent age (10-14 year). Results: The pre test means score was 10.58, standard deviation was 1.71 and the mean % was 52.9. The post test means score was 14.94, standard deviation was 1.39 and the mean % was 74.7. The difference in mean% was 21.8. The calculated ‘t’ value of 22.31 which showed high statistical significance at p<0.001 level. There was no significant association of post test level of knowledge with any of the demographic variables. Regarding First aid and safety measure. Conclusion: The present study assessed the knowledge of school children regarding first aid and safety measures, the school children had inadequate knowledge regarding first aid safety measures. After reading Self Instructional Module, there was a significant improvement in school children knowledge regarding first aid and safety measures.

Risk-based optimal safety measure allocation for dust explosions

2015 ◽  
Vol 74 ◽  
pp. 79-92 ◽  
Author(s):  
Zhi Yuan ◽  
Nima Khakzad ◽  
Faisal Khan ◽  
Paul Amyotte
Keyword(s):  
Safety Measure ◽  
Dust Explosions

Developing Conflict Analysis as a Surrogate Safety Measure Using an Expert Survey

2018 ◽  
Vol 9 ◽  
pp. S14-S15
Author(s):  
Sunil Madanu ◽  
Ziaur Rahman ◽  
Stephen Mattingly ◽  
Colleen Casey
Keyword(s):  
Conflict Analysis ◽  
Safety Measure ◽  
Expert Survey

scholarly journals Preoxygenation: could safety measure be made less dangerous?

2016 ◽  
Vol 61 (6) ◽  
pp. 433-438
Author(s):  
L.U. Kamenskaya ◽  
◽  
Konstantin M. Lebedinskiy ◽  
◽  
Keyword(s):  
Safety Measure

Old Plastic Bags conversion to Construction Bricks

2021 ◽  
Vol 12 (6) ◽  
pp. 954-972
Author(s):  
Umeed Maalik
Keyword(s):  
Solid Waste ◽  
Waste Stream ◽  
Safety Measure ◽  
Plastic Bags ◽  
Green Behavior

One of the biggest constrains to manage solid waste is to tackle old plastic bags /shoppers. Their decomposition period ranges 10 to 10,000 years in rough statistics. To eliminate these bags from waste stream is a notorious difficulty. So to convert this problem to a product could be a fascinating approach. It is a forward step towards green behavior. It also minimizes dumping loads so it is a space safety measure as well.

Perceptions of Safety Measure

2016 ◽  
Author(s):  
Kathi N. Miner ◽  
Lilia M. Cortina
Keyword(s):  
Safety Measure ◽  
Perceptions Of Safety
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