[Abbasi, E. – Li, Y., 2021. A Comprehensive Review of Driver’s Attention and the Evaluation Methods. Computational Research Progress in Applied Science & Engineering (CRPASE) 7.10.52547/crpase.7.3.2392]Search in Google Scholar
[Addeh, A. – Iri, M., 2021. Brain tumor type classification using deep features of MRI images and optimized RBFNN. Engineering Transactions 2.]Search in Google Scholar
[Anastasopoulos, P.C. – Mannering, F.L., 2009. A note on modeling vehicle accident frequencies with random-parameters count models. Accident Analysis & Prevention 41, 153-159.10.1016/j.aap.2008.10.005]Search in Google Scholar
[Ataeian, S. – Mostafavi, A. – Nabiloo, R., 2020. Performance Analysis of Fixed Route Shared Taxi Services (Jitney)-Case Study of Tehran, Iran. Computational Research Progress in Applied Science & Engineering (CRPASE) 6.]Search in Google Scholar
[Ayati, 2012. Traffic Accidents Cost of Iran. Ferdowsi University, Publisher.]Search in Google Scholar
[Ayati, A. – Abbasi, A., 2011a. Application of Zero-Inflated Regression Models in Modeling Accidents on Urban Highways. mdrs-jrns 11, 1-15.]Search in Google Scholar
[Ayati, E. – Abbasi, E., 2011b. Investigation on the role of traffic volume in accidents on urban highways. Journal of safety research 42, 209-214.10.1016/j.jsr.2011.03.006]Search in Google Scholar
[Babaie, S. – Seyedhosseini, M. – Motadel, M., 2021. The Parameters Affecting the Mathematical Programming Model of the Appropriate Transportation System. Journal of System Management 7, 1-22.]Search in Google Scholar
[Chang, L.-Y. – Mannering, F., 1999. Analysis of injury severity and vehicle occupancy in truck-and non-truck-involved accidents. Accident Analysis & Prevention 31, 579-592.10.1016/S0001-4575(99)00014-7]Search in Google Scholar
[Chen, H. – Chen, A. – Xu, L. – Xie, H. – Qiao, H. – Lin, Q. – Cai, K., 2020. A deep learning CNN architecture applied in smart near-infrared analysis of water pollution for agricultural irrigation resources. Agricultural Water Management 240, 106303.10.1016/j.agwat.2020.106303]Search in Google Scholar
[Dadashpoor, H. – Azizi, P. – Moghadasi, M., 2019. Analyzing spatial patterns, driving forces and predicting future growth scenarios for supporting sustainable urban growth: Evidence from Tabriz metropolitan area, Iran. Sustainable Cities and Society 47, 101502.10.1016/j.scs.2019.101502]Search in Google Scholar
[Delen, D. – Sharda, R. – Bessonov, M., 2006. Identifying significant predictors of injury severity in traffic accidents using a series of artificial neural networks. Accident Analysis & Prevention 38, 434-444.10.1016/j.aap.2005.06.02416337137]Search in Google Scholar
[Eisenstadt, S.N. – Schramm, W. – Rogers, E.M. – Oshima, H.T. – Lerner, D., 2021. 3. The Changing Vision of Modernization and Development, Communication and Change, University of Hawaii Press, pp. 31-64.10.1515/9780824887100-004]Search in Google Scholar
[Golilarz, N.A. – Gao, H. – Addeh, A. – Pirasteh, S., 2020. ORCA Optimization Algorithm: A New Meta-Heuristic Tool for Complex Optimization Problems, 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), pp. 198-204.10.1109/ICCWAMTIP51612.2020.9317473]Search in Google Scholar
[Golrokh, F.J. – Azeem, Hasan, 2020. Eco-efficiency Evaluation in Cement Industries: DEA Malmquist Productivity Index Using Optimization Models. ENG Transactions 1.]Search in Google Scholar
[Hamed, M.M. – Al-Eideh, B.M., 2020. An exploratory analysis of traffic accidents and vehicle ownership decisions using a random parameters logit model with heterogeneity in means. Analytic methods in accident research 25, 100116.10.1016/j.amar.2020.100116]Search in Google Scholar
[Holdridge, J.M. – Shankar, V.N. – Ulfarsson, G.F., 2005. The crash severity impacts of fixed roadside objects. Journal of Safety Research 36, 139-147.10.1016/j.jsr.2004.12.00515885705]Search in Google Scholar
[Hu, J. – Chen, H. – Heidari, A.A. – Wang, M. – Zhang, X. – Chen, Y. – Pan, Z., 2020. Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection. Knowledge-Based Systems, 106684.10.1016/j.knosys.2020.106684]Search in Google Scholar
[Khorashadi, A. – Niemeier, D. – Shankar, V. – Mannering, F., 2005. Differences in rural and urban driver-injury severities in accidents involving large-trucks: an exploratory analysis. Accident Analysis & Prevention 37, 910-921.10.1016/j.aap.2005.04.00915935320]Search in Google Scholar
[Li, T. – Xu, M. – Zhu, C. – Yang, R. – Wang, Z. – Guan, Z., 2019. A deep learning approach for multi-frame in-loop filter of HEVC. IEEE Transactions on Image Processing 28, 5663-5678.10.1109/TIP.2019.292187731217108]Search in Google Scholar
[Lv, Z. – Qiao, L., 2020. Deep belief network and linear perceptron based cognitive computing for collaborative robots. Applied Soft Computing 92, 106300.10.1016/j.asoc.2020.106300]Search in Google Scholar
[Milton, J.C. – Shankar, V.N. – Mannering, F.L., 2008. Highway accident severities and the mixed logit model: an exploratory empirical analysis. Accident Analysis & Prevention 40, 260-266.10.1016/j.aap.2007.06.00618215557]Search in Google Scholar
[Nadimia, N. – Alavia, S.S.N. – Mirhosseinia, A.H.Z. – Amirib, A.M., 2017. Proposing a Model for Ranking Hotspots in Rural Roads Using a Multi-criteria Decision-making Method. Computational Research Progress in Applied Science & Engineering (CRPASE) 3.]Search in Google Scholar
[Qiu, T. – Shi, X. – Wang, J. – Li, Y. – Qu, S. – Cheng, Q.,-Cui, T. – Sui, S., 2019. Deep learning: A rapid and efficient route to automatic metasurface design. Advanced Science 6, 1900128.10.1002/advs.201900128666205631380164]Search in Google Scholar
[Savolainen, P. – Mannering, F., 2007. Probabilistic models of motorcyclists’ injury severities in single-and multi-vehicle crashes. Accident Analysis & Prevention 39, 955-963.10.1016/j.aap.2006.12.01617324370]Search in Google Scholar
[Shahi, Nejad, A. – Sheikholeslami, 2005. Modeling of Motorcycles Accidents Intensity in the City of Tehran. Journal of Transportation Research 3.]Search in Google Scholar
[Shan, W. – Qiao, Z. – Heidari, A.A. – Chen, H. – Turabieh, H. – Teng, Y., 2020. Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis. Knowledge-Based Systems, 106728.10.1016/j.knosys.2020.106728]Search in Google Scholar
[Taleghani, M. – Taleghani, A., 2013. Identification and Ranking of Factors affecting the implementation of Knowledge Management based on TOPSIS Technique. ENG Transactions 1.]Search in Google Scholar
[Torabi, Moghadam, R., 2010. Modelling the risk of accidents in urban highways. Journal of Transportation 18.]Search in Google Scholar
[Tu, J. – Chen, H. – Liu, J. – Heidari, A.A. – Zhang, X. – Wang, M. – Ruby, R. – Pham, Q.-V., 2021. Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance. Knowledge-Based Systems 212, 106642.10.1016/j.knosys.2020.106642]Search in Google Scholar
[Vajari, M.A. – Aghabayk, K. – Sadeghian, M. – Shiwakoti, N., 2020. A multinomial logit model of motorcycle crash severity at Australian intersections. Journal of safety research 73, 17-24.10.1016/j.jsr.2020.02.00832563389]Search in Google Scholar
[Xu, M., Li, T. – Wang, Z. – Deng, X. – Yang, R. – Guan, Z., 2018. Reducing complexity of HEVC: A deep learning approach. IEEE Transactions on Image Processing 27, 5044-5059.10.1109/TIP.2018.284703529994256]Search in Google Scholar
[Yang, X.-t. – Fang, Y.-p. – Qiu, X.-p. – Zhu, F.-b., 2018. Gradient effect of road transportation on economic development in different geomorphic regions. Journal of Mountain Science 15.10.1007/s11629-017-4498-5]Search in Google Scholar
[Yu, C. – Chen, M. – Cheng, K. – Zhao, X. – Ma, C. – Kuang, F. – Chen, H., 2021. SGOA: annealing-behaved grasshopper optimizer for global tasks. Engineering with Computers, 1-28.10.1007/s00366-020-01234-1]Search in Google Scholar
[Zhang, X. – Wang, J. – Wang, T. – Jiang, R. – Xu, J. – Zhao, L., 2020a. Robust Feature Learning for Adversarial Defense via Hierarchical Feature Alignment. Information Sciences.10.1016/j.ins.2020.12.042]Search in Google Scholar
[Zhang, Y. – Liu, R. – Wang, X. – Chen, H. – Li, C., 2020b. Boosted binary Harris hawks optimizer and feature selection. Engineering with Computers, 1-30.10.1007/s00366-020-01028-5]Search in Google Scholar