Vehicle speeding is one of the risk factors in road safety and contributes to accidents which lead to deaths and injuries resulting in not only loss of lives but also affecting the economy. This study reports the research conducted with the purpose of monitoring and analyzing the drivers speeding behavior at the black spots. The data were collected using smart cameras installed at Ubena-Zomozi along Highway of T001 in the Coast and Morogoro regions. The collected vehicle data were analyzed using intelligent cameras, ANPR and OCR. The results of monitoring indicated that about 89.17% of car had recommended speed and obeyed the rule; 10.34% had an average tolerable speed while 0.48% were highly over speeding in someplace. It was concluded that many other black spots need to be smartly controlled using installed intelligent camera rather than using gun camera held by police.
Cite this paper
Runyoro, A. K. , Ndume, V. A. , Mganilwa, Z. and Kambira, I. (2022). A Smart Approach for Vehicle Speed Monitoring and Accidents Trend at Black Spot Areas in Tanzania. Open Access Library Journal, 9, e8465. doi: http://dx.doi.org/10.4236/oalib.1108465.
Belin, M.Å., Tillgren, P. and Vedung, E. (2012) Vision Zero—A Road Safety Policy Innovation. International Journal of Injury Control and Safety Promotion, 19, 171-179.
https://doi.org/10.1080/17457300.2011.635213
Pistelok, P. and Straub, D. (2021) Evaluation of the Road Policy in the Light of Vision Zero in Jaworzno, Poland. Sustainability, 13, Article No. 8745.
https://doi.org/10.3390/su13168745
Goniewicz, K., Goniewicz, M., Pawlowski, W. and Fiedor, P. (2016) Road Accident Rates: Strategies and Programmes for Improving Road Traffic Safety. European Journal of Trauma and Emergency Surgery, 42, 433-438.
https://doi.org/10.1007/s00068-015-0544-6
WHO (2015) Practical Steps in Enhancing Road Safety Lessons from the Road Safety in 10 Countries Project in the Russian Federation. The WHO Regional Office for Europe. https://www.euro.who.int/
Komba, D.D. (2006) Risk Factors and Road Traffic Accidents in Tanzania: A Case Study of Kibaha District. Master’s Thesis, Norwegian University of Science and Technology, Trondheim.
Sagamiko, T. and Mbare, N. (2020) Modelling Road Traffic Accidents Counts in Tanzania: A Poisson Regression Approach. Tanzania Journal of Science, 47.
https://www.ajol.info/index.php/tjs/article/view/203895
Ramju, F., Kaijage, S. and Sinde, R.S. (2016) Implementation and Impact of ICT Technology on Vehicle Over-Speed and Drinking Driving Monitoring in Tanzania: A Survey. Computer Engineering and Intelligent Systems, 7, 10-17.
https://www.iiste.org/Journals/index.php/CEIS/article/view/31582
Funlayo, E., Nkinse, O., Daniel, A. and Samuel, A. (2018) Accident Black Spots in Ondo State, Nigeria: Implications For Transportation Planning. Journal of Geography and Planning Sciences, 3, 66-87.
Jabbar, M. and Campus, S. (2014) Intelligent Driver Monitoring System.
https://www.researchgate.net/publication/262841130_Intelligent_Driver_Monitoring_System_Using_Camera
Sallow, A.B., Sulaiman, Z.A., Ali, N.N. and Ismael, S.I. (2020) Speed Limit Camera Monitoring/Tracking System Using SaaS Cloud Computing Module and GPS. 2020 International Conference on Computer Science and Software Engineering (CSASE), Duhok, 16-18 April 2020, 272-277.
https://doi.org/10.1109/CSASE48920.2020.9142048
Patel, C., Shah, D. and Patel, A. (2013) Automatic Number Plate Recognition System (ANPR): A Survey. International Journal of Computer Applications, 69, 21-33.
https://doi.org/10.5120/11871-7665
