[1] Szénási S, Kertész G, Felde I, Nádai L. Statistical accident analysis supporting the control of autonomous vehicles. Journal of Computational Methods in Sciences and Engineering. 2021 Jan 1;21(1):85-97.
[View at Google Scholar];
[View at Publisher]
[2] Singhal S, Priyamvada B, Jain R, Chawla M. Machine Learning Approach Towards Road Accident Analysis in India. InProceedings of Second International Conference on Smart Energy and Communication 2021 (pp. 311-322). Springer, Singapore.
[View at Google Scholar] ;
[View at Publisher]
[3] Schlögl M. A multivariate analysis of environmental effects on road accident occurrence using a balanced bagging approach. Accident Analysis & Prevention. 2020 Mar 1;136:105398.
[View at Google Scholar] ;
[View at Publisher]
[4] Upadhya SM, Vinothina V. Fuzzy logic based approach for possibility of road accidents. InJournal of Physics: Conference Series 2020 (Vol. 1427, No. 1, p. 012011). IOP Publishing.
[View at Google Scholar] ;
[View at Publisher]
[5] Bolsunovskaya M, Leksashov A, Shirokova S, Tsygan V. Development of an information system structure for photo-video recording of traffic violations. InE3S Web of Conferences 2021 (Vol. 244, p. 07007). EDP Sciences.
[View at Google Scholar] ;
[View at Publisher]
[6] Roh M, Song M. The Impact of Self-Serving Bias on the Adoption of Autonomous Vehicles: The Moderating Role of Defensive Driving Ability and Car Accident Experience. Available at SSRN 3657626. 2020 Jul 21.
[View at Google Scholar] ;
[View at Publisher]
[7] Wei P, Shi H, Yang J, Qian J, Ji Y, Jiang X. City-scale vehicle tracking and traffic flow estimation using low frame-rate traffic cameras. InAdjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers 2019 Sep 9 (pp. 602-610).
[View at Google Scholar] ; [View at Publisher]
[8] Wang C, Musaev A, Sheinidashtegol P, Atkison T. Towards detection of abnormal vehicle behavior using traffic cameras. InInternational Conference on Big Data 2019 Jun 25 (pp. 125-136). Springer, Cham.
[View at Google Scholar] ; [View at Publisher]
[10] Hong JW. Why artificial intelligence is blamed more? Analysis of faulting artificial intelligence for self-driving car accidents in experimental settings. International Journal of Human–Computer Interaction. 2020 Nov 7;36(18):1768-74.
[View at Google Scholar] ; [View at Publisher]
[12] Ghanizadeh AR, Rahrovan M. Full-Depth Reclamation Method for Rehabilitation of Streets Pavement in City of Sirjan: Mix Design and Bearing Capacity. Journal of civil Engineering and Materials Application. 2020 Mar 1;4(1).
[View at Google Scholar] ; [View at Publisher]
[13] De Souza AM, Brennand CA, Yokoyama RS, Donato EA, Madeira ER, Villas LA. Traffic management systems: A classification, review, challenges, and future perspectives. International Journal of Distributed Sensor Networks. 2017 Apr;13(4):1550147716683612.
[View at Google Scholar] ; [View at Publisher]
[14] Aval SS, Ghandeshtani NS, Akbari P, Eghbal N, Noori A. An Eligibility Traces based Cooperative and Integrated Control Strategy for Traffic Flow Control in Freeways. In2019 9th International Conference on Computer and Knowledge Engineering (ICCKE) 2019 Oct 24 (pp. 40-45). IEEE.
[View at Google Scholar] ; [View at Publisher]
[15] Gu X, Abdel-Aty M, Xiang Q, Cai Q, Yuan J. Utilizing UAV video data for in-depth analysis of drivers’ crash risk at interchange merging areas. Accident Analysis & Prevention. 2019 Feb 1;123:159-69.
[View at Google Scholar] ; [View at Publisher]
[16] Raju N, Kumar P, Arkatkar S, Joshi G. Determining risk-based safety thresholds through naturalistic driving patterns using trajectory data on expressways. Safety Science. 2019 Nov 1;119:117-25.
[View at Google Scholar] ; [View at Publisher]
[17] Dai R, Lu Y, Ding C, Lu G, Wang Y. A simulation-based approach to investigate the driver route choice behavior under the connected vehicle environment. Transportation research part F: traffic psychology and behaviour. 2019 Aug 1;65:548-63.
[View at Google Scholar] ; [View at Publisher]
[18] Yu R, Wang Y, Quddus M, Li J, Wang X, Tian Y. Investigating vehicle roadway usage patterns on the Shanghai urban expressway system and their impacts on traffic safety. International journal of sustainable transportation. 2021 Jan 4;15(3):217-28.
[View at Google Scholar] ; [View at Publisher]
[19] Jiang Y, Zhang J, Wang Y, Wang W. Drivers’ behavioral responses to driving risk diagnosis and real-time warning information provision on expressways: A smartphone app–based driving experiment. Journal of Transportation Safety & Security. 2020 Mar 15;12(3):329-57.
[View at Google Scholar] ; [View at Publisher]
[20] Zhang L, Kong J, Cui B, Fu T. Safety Effects of Freeway Roadside Electronic Billboards on Visual Properties of Drivers: Insights from Field Experiments. Journal of Transportation Engineering, Part A: Systems. 2020 Feb 1;146(2):04019071.
[View at Google Scholar] ; [View at Publisher]
[21] Xu Wang, Yue Cao, Peiyu Jiang, Lei Niu, Nengchao Lyu, The safety effect of open-median management on one-side widened freeways: A driving simulation evaluation,Journal of Safety Research,Volume 73,2020,Pages 57-67.
[View at Google Scholar] ; [View at Publisher]
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