This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
The Validation of Auto Rickshaw Model for Frontal Crash Studies Using Video Capture Data
Technical Paper
2020-28-0490
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Despite being Auto rickshaws are the most important public transportation around Asian countries and especially in India, the safety standards and regulations have not been established as much as for the car segment. The Crash simulations have evolved to analyze the vehicle crashworthiness since crash experimentations are costly. The work intends to provide the validation for an Auto rickshaw model by comparing frontal crash simulation with a random head-on crash video. MATLAB video processing tool has been used to process the crash video, and the impact velocity of the frontal crash is obtained. The vehicle modelled in CATIA is imported in the LS-DYNA software simulation environment to perform frontal crash simulation at the captured speed. The simulation is compared with the crash video at 5, 25, and 40 milliseconds respectively. The comparison shows that the crash pattern of simulation and real crash video are similar in detail. Thus the modelled Auto-rickshaw can be used in the future to validate the real-time crash for providing the scope of improvement in Three-wheeler safety.
Recommended Content
Authors
Citation
Selvaraju, R., SIDDESWARAN, S., and Sankarasubramanian, H., "The Validation of Auto Rickshaw Model for Frontal Crash Studies Using Video Capture Data," SAE Technical Paper 2020-28-0490, 2020, https://doi.org/10.4271/2020-28-0490.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| Unnamed Dataset 1 | ||
| Unnamed Dataset 2 | ||
| Unnamed Dataset 3 | ||
| Unnamed Dataset 4 |
Also In
References
- Mohan , D. , Kajzer , J. , Bawa-Bhalla , K.S. , and Chawla , A. Impact Modelling Studies for a Three-Wheeled Scooter Taxi Accident Analysis & Prevention 29 2 161 170 1997
- Somasundaraswaran , A.K. , and Richard , T.A.Y. Self-Reported Differences between Crash-Involved and Non-Crash-Involved Three-Wheeler Drivers in Sri Lanka IATSS Research 30 1 68 72 2006
- Prakash , V.R. Assessing the Structural Crashworthiness of a Three-Wheeled Passenger Vehicle ICORD 09: Proceedings of the 2nd International Conference on Research into Design Bangalore, India Jan. 7-9 2009 152 159
- Al-Graitti , A.J. , Khalid , G.A. , Berthelson , P. , Mason-Jones , A. et al. Auto Rickshaw Impacts with Pedestrians: A Computational Analysis of Post-Collision Kinematics and Injury Mechanics Int. J. Biomed. Biol. Eng 11 11 568 587 2017
- Hoque , M.M. , McDonald , M. , and Hall , R.D. Road Safety Improvements in Developing Countries: Priority Issues and Options ARRB Transport Research Ltd Conference Melbourne, Victoria, Australia 2001
- Chawla , A. , Mukherjee , S. , Mohan , D. , Kumar , R. et al. FE Simulation Studies of a Three-Wheeled Scooter Taxi Mech. Eng 2001
- Tordal , S.S. , Klausen , A. , Karimi , H.R. , Robbersmyr , K.G. et al. An Application of Image Processing in Vehicle Crash Motion Detection from High Frame Rate Video International Journal of Innovative Computing Information and Control 11 5 1667 1680 2015
- Doğan , S. , Temiz , M.S. , and Külür , S. Real-Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera Sensors 10 5 4805 4824 2010
- Afifah , F. , Nasrin , S. , and Mukti , A.
- Iraeus , J. , and Lindquist , M. Development and Validation of a Generic Finite Element Vehicle Buck Model for the Analysis of Driver Rib Fractures in Real Life Nearside Oblique Frontal Crashes Accident Analysis & Prevention 95 42 56 2016