Road Transportational Accident Analysis of Urban to Town Connecting Sectors
Keywords:
Road Traffic Collisions, Black Spots, Statistical Analysis Of Accidents, YOLO, Machine LearningAbstract
- Road safety is worlds safety; we used to leave our half of the life in road transport only. Without transportation we can’t do anything. As per the analysis of world record of death rate 6-11 % of death is by road accident. Either riding, or walking or even standing in footpath, we can’t miss accident. Our errors contribute to the world safety is of 68% help from human life to environment and world economic state balancing, keeping this in mind. This paper done with few analysis of urban connection and accident road ways. Road safety is not a small factor to neglect .It needs a thousand of alarm to avoid or not to see death as soon.
Downloads
Metrics
References
. “The world's first automobile fatality “ , Isabelle Fallon, Desmond O’Neill, Accident Analysis & Prevention ,Volume 37, Issue 4, July 2005, Pages 601-603.
. Accident blackspot - Wikipedia
. A Statistical Analysis of Road Accident Data -Using Data Mining”, Ram Prasanth T*, Spangler Diaz V*, Surendran N*, Upheaval V*, Rd. C. Anand**, Mrs. N. Vasuki***, International Journal of Engineering Research & Technology (IJERT) Special Issue - 2018 ISSN: 2278-0181 RTICCT - 2018 Conference Proceedings.
. Road accidents in India, 2009.
. “IRAD.” ROAD SAFETY ANNUAL REPORT 2023.
. Traffic accidents Classification and Injury Severity Prediction “, Shyam Sundar Abou, Satya Shekar Varma, Surya Prakash Jella, IJITEE, ISSN:2278-3075, Vol-9, Issue-6, April 2020.
. “Towards Sustainable Transportation: The Role of Black Spot Analysis in Improving Road Safety”, Ioannis Karamanlis, Andreas Nikiforiadis, George Botzoris, MDPI, SUSTAINABLITIY ,2023
. Montella, A. “A comparative analysis of hotspot identification methods,Accid.Anal.Prev.2022,42,571-581. [Cross-ref] [PubMed]
. Identifying accident black spot based on the accident spacing distribution, HOngjun Cui, kianguo Dong, minqing zhu, Xia li. Qingzhou wang, Science direct, jtte, 15 July 2022
. Ghadi M.Torok.A. 2019, A comparative analysis of black spot identifications methods. accident analysis and preventions 128, 1-7
. Wan, Y.; He, W.; Zhou, J. Urban Road Accident Black Spot Identification and Classification Approach: A Novel Grey Verhuls–Empirical Bayesian Combination Method. Sustainability 2021, 13, 11198. [Google Scholar] [CrossRef]
. Identifying spatiotemporal traffic patterns in large-scale urban road networks using a modified nonnegative matrix factorization algorithm, 2018, science direct Xiaolei Ma a b, Yi Li a, Peng Chen a b
. Kokkalis, A.; Kalpakis, F. An Applied Assessment of the Procedures and Criteria for Black Spot Determination. Int. J. Transp. 2017, 5, 15–32. [Google Scholar]
. F. Yang, Influence of road alignment design on traffic safety, Building Materials and Decoration (7) (2020), pp. 288-289
. A survey on object detection in optical remote sensing images, gong Cheng, junwei han, ISPRS journal of photogrammetry and Remote sensing, 2016.
. Identification and Analysis of Accidental Blackspots on NH-48, Pritam Kashid1, Yugandhar Shinde 2, Siddhant Dhavare 3, Hrishikesh Pokharkar4, International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 06 | June 2019
. Identification of Black Spots & Accident Analysis on SH – 4, N. Naveen Kumar1, Dr. T. Ilango2, K. Anvesh3, M. Sowbhagya4, S. Shashidhar5, T. Sai Ram Chand6., 2019 JETIR April 2019, Volume 6, Issue 4 www.jetir.org (ISSN-2349-5162)
. Traffic accident duration prediction using multi-mode data and ensemble deep learning. Jiaona Chen a, Weijun Tao a, Zhang Jing a, Peng Wang Xi’an Shiyou University School of Electronic Engineering, Xi’an, 710065, China b Chang’an University School of Electronic and Control Engineering, Xi’an, 710061, China a, Yinli Jin b, Heliyon 10 (2024) e2595
. Y.X. Zhao, W. Deng, Prediction in traffic accident duration based on heterogeneous ensemble learning, Appl. Artif. Intel. 36 (1) (2022), https://doi.org/ 10.1080/08839514.2021.2018643.
. L.Y. Zhang, M. Zhang, J.Z. Tang, J. Ma, X.K. Duan, J. Sun, X.F. Hu, S.C. Xu, Analysis of traffic accident based on knowledge graph, J. Adv. Transport. (2022) 3915467, https://doi.org/10.1155/2022/3915467, 2022.
. H. Zhao, W. Gunardi, Y. Liu, C. Kiew, T.H. Teng, X.B. Yang, Prediction of traffic incident duration using clustering-based ensemble learning method, J. Transport. Eng., Part A: Systems 148 (7) (2022) 04022044, https://doi.org/10.1061/jtepbs.0000688.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
