References
- Abdelwahab, H. T., & Abdel-Aty, M. A. (2001) Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections. Transportation research record, 1746(1), 6-13.
- Bari, C., Navandar, Y., Dhamaniya, A. (2019) Service Time Variation Analysis at Manually Operated Toll Plazas under Mixed Traffic conditions in India. J. East. Asia Soc. Transp. Stud. 13, 331–350. https://doi.org/10.11175/easts.13.331
- Carnis, L., & Blais, E. (2013) An assessment of the safety effects of the French speed camera program. Accident Analysis & Prevention, 51, 301-309. https://doi.org/10.1016/j.aap.2012.11.022
- Chaudhary, R. (2019) Green human resource management in Indian automobile industry. J. Glob. Responsib. 10, 161–175. https://doi.org/10.1108/JGR-12-2018-0084
- D’Apuzzo, M., Santilli, D., Evangelisti, A., Fusco, G., Nicolosi, V., Pernetti, M., & Isaenko, N. (2021) Toward the development of a hybrid approach to speed estimation in urban and rural areas. Traffic Injury Prevention, 22(6), 449-454. https://doi.org/10.1080/15389588.2021.1935904
- Distefano, N., Leonardi, S. (2019) Evaluation of the benefits of traffic calming on vehicle speed reduction. Civ. Eng. Archit. 7, 200–214. https://doi.org/10.13189/cea.2019.070403
- Draper, C., Reichle, R., de Jeu, R., Naeimi, V., Parinussa, R., Wagner, W. (2013) Estimating root mean square errors in remotely sensed soil moisture over continental scale domains. Remote Sens. Environ. 137, 288–298. https://doi.org/10.1016/j.rse.2013.06.013
- FHWA. (2000) Roundabouts: An Informational Guide. Report 672. Federal Highway Administration. Virginia, USA.
- Hadiuzzaman, M., Qiu, T. Z., & Lu, X. Y. (2013). Variable speed limit control design for relieving congestion caused by active bottlenecks. Journal of Transportation Engineering, 139(4), 358-370.
- Han, Y., Wang, G., Yu, J., Liu, C., Zhang, Z., & Zhu, M. (2015) A service-based approach to traffic sensor data integration and analysis to support community-wide green commute in China. IEEE Transactions on Intelligent Transportation Systems, 17(9), 2648-2657.
- Hounsell, N. B., Shrestha, B. P., Piao, J., & McDonald, M. (2009) Review of urban traffic management and the impacts of new vehicle technologies. IET intelligent transport systems, 3(4), 419-428. DOI: 10.1049/iet-its.2009.0046
- Jin, Y., Wang, X., Chen, X. (2011) Evaluating the Speed Reduction Effectiveness of Speed Bump on Local Streets. ICCTP 2011, ASCE 2011 346–359.
- Kumar, B. S., & Chowdary, V. (2023) Use of artificial neural networks to assess train horn noise at a railway level crossing in India. Environmental Monitoring and Assessment, 195(3), 1-19. https://doi.org/10.1007/s10661-023-11021-2
- Liu, Q., Wang, B., & Zhu, Y. (2018) Short‐term traffic speed forecasting based on attention convolutional neural network for arterials. Computer‐Aided Civil and Infrastructure Engineering, 33(11), 999-1016. https://doi.org/10.1111/mice.12417
- Nasr, M. S., Moustafa, M. A., Seif, H. A., & El Kobrosy, G. (2012) Application of Artificial Neural Network (ANN) for the prediction of Artificial Neural Network (ANN) for the prediction of EL-AGAMY wastewater treatment plant performance-EGYPT. Alexandria engineering journal, 51(1), 37-43.
- Olayode, O.I., Tartibu, L.K., Okwu, M.O., (2020) Application of Artificial Intelligence in Traffic Control System of Non-autonomous Vehicles at Signalized Road Intersection. Procedia CIRP 91, 194–200. https://doi.org/10.1016/j.procir.2020.02.167
- Puri, M., Solanki, A., Padawer, T., Tipparaju, S. M., Moreno, W. A., & Pathak, Y. (2016) Introduction to artificial neural network (ANN) as a predictive tool for drug design, discovery, delivery, and disposition: Basic concepts and modeling. In Artificial neural network for drug design, delivery and disposition (pp. 3-13). Academic Press.
- Saha, S., Basu, S., & Nasipuri, M. (2015) An Indian license plate recognition system. Multimedia Tools and Applications, 74, 10621-10656.
- Sanka, A.I., Irfan, M., Huang, I., Cheung, R.C.C. (2021) A survey of breakthrough in blockchain technology: Adoptions, applications, challenges and future research. Comput. Commun. 169, 179–201. https://doi.org/10.1016/j.comcom.2020.12.028
- Şentaş, A., Tashiev, İ., Küçükayvaz, F., Kul, S., Eken, S., Sayar, A., & Becerikli, Y. (2020) Performance evaluation of support vector machine and convolutional neural network algorithms in real-time vehicle type and color classification. Evolutionary Intelligence, 13, 83-91. https://doi.org/10.1007/s12065-018-0167-z
- Tandon, R. (2020) COVID-19 and mental health: Preserving humanity, maintaining sanity, and promoting health. Asian Journal of Psychiatry, Volume 51. doi: 10.1016/j.ajp.2020.102256
- Tavolinejad, H., Malekpour, M. R., Rezaei, N., Jafari, A., Ahmadi, N., Nematollahi, A., & Farzadfar, F. (2021) Evaluation of the effect of fixed speed cameras on speeding behavior among Iranian taxi drivers through telematics monitoring. Traffic injury prevention, 22(7), 559-563. https://doi.org/10.1080/15389588.2021.1957100
- Tientrakool, P., Ho, Y.C., Maxemchuk, N.F. (2011) Highway capacity benefits from using vehicle-to-vehicle communication and sensors for collision avoidance. IEEE Veh. Technol. Conf. 0–4. https://doi.org/10.1109/VETECF.2011.6093130
- Xu, Y., Ye, Z., Wang, Y., Wang, C., & Sun, C. (2018) Evaluating the influence of road lighting on traffic safety at accesses using an artificial neural network. Traffic injury prevention, 19(6), 601-606. https://doi.org/10.1080/15389588.2018.1471599
- Zollanvari, A., Dougherty, E.R. (2014) Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model. Pattern Recognit. 47, 2178–2192. https://doi.org/10.1016/j.patcog.2013.11.022