Smart City Gnosys

Smart city article details

Title	It Is About Weather: Explainable Machine Learning For Traffic Accident Understanding
ID_Doc	34277
Authors	Soedirman S.; Liu F.; Fan Z.; Zhang W.
Year	2023
Published	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
DOI	http://dx.doi.org/10.1109/SMC53992.2023.10393997
Abstract	Road traffic accidents cause injuries, claim lives, and disrupt economic activities. It is among the key problems for intelligent transportation and smart cities. Cities, especially the mega ones, must strive for reducing accidents for public safety and sustainable growth, and the first task is to understand accidents. In this paper, we build up such understanding with the emerging explainable machine learning (ML) technique. We prepare a huge dataset with over two million accident records and use it to deliver ML models for accident modelling. Given ML models of high fidelity for mapping accident features and conditions to the accident severity, we apply several explainable ML techniques to explain the models and understand accidents. We first consider coarse granularity to capture the overall feature importance. Then we consider fine granularity methods including partial dependence plot and Shapley additive explanations. The former shows that feature impact varies at different feature values and uses a plot to reflect the impact changes. The latter puts attention to individual accident and quantifies the feature impact for the specific accident. Our core observation is that traffic accidents are often about weather, followed by location and road type. Extensive experimental study is performed to support our discussion and justify our conclusion. The deliverable of this paper offers an advanced way of understanding traffic accidents accurately in a quantitative manner and has great potential to be used for intelligent transportation and smart city applications. © 2023 IEEE.
Author Keywords	explainable machine learning; intelligent transportation; machine learning; smart cities; traffic accident

Similar Articles

Id	Similarity	Authors	Title	Published
36014	0.894	Thanikachalam R.; Babu M.; Rahuman D.A.S.; Swain S.; Chandrasekaran S.; Veeran R.	Machine Learning Models For Road Accident Prediction For Smart Cities: A Comprehensive Analysis	International Journal of Basic and Applied Sciences, 14, 2 (2025)
53546	0.869	Roland J.; Way P.; Sartipi M.	Studying The Effects Of Weather And Roadway Geometrics On Daily Accident Occurrence Using A Multilayer Perceptron Model	SCOPE 2019 - Proceedings of the 2019 International Science of Smart City Operations and Platforms Engineering (2019)
26856	0.868	Angadi V.S.; Halyal S.	Forecasting Road Accidents Using Deep Learning Approach: Policies To Improve Road Safety	Journal of Soft Computing in Civil Engineering, 8, 4 (2024)
9226	0.868	Kolisnyk M.; Kwiatkowski M.R.; Leung C.K.; Zacharias B.	Analysis Of Multi-Dimensional Road Accident Data For Disaster Management In Smart Cities	Proceedings - 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science, IRI 2022 (2022)
9472	0.864	Harimanto F.P.; Andrew C.; William H.; Asy'ari M.Z.; Artanto S.A.; Puji M.N.	Analyze And Predict Car Accidents Using Different Machine Learning Algorithms	Proceedings of 2023 International Conference on Information Management and Technology, ICIMTech 2023 (2023)
42686	0.861	Niyogisubizo J.; Liao L.; Sun Q.; Nziyumva E.; Wang Y.; Luo L.; Lai S.; Murwanashyaka E.	Predicting Crash Injury Severity In Smart Cities: A Novel Computational Approach With Wide And Deep Learning Model	International Journal of Intelligent Transportation Systems Research, 21, 1 (2023)
9402	0.856	Saber T.; Capatina L.; Ventresque A.	Analysis Of Urban Traffic Incidents Through Road Network Features	Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020 (2020)
6953	0.855	Adewopo V.; Elsayed N.; Elsayed Z.; Ozer M.; Wangia-Anderson V.; Abdelgawad A.	Ai On The Road: A Comprehensive Analysis Of Traffic Accidents And Autonomous Accident Detection System In Smart Cities	Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI (2023)
12041	0.855	Adewopo V.; Elsayed N.; Elsayed Z.; Ozer M.; Zekios C.L.; Abdelgawad A.; Bayoumi M.	Big Data And Deep Learning In Smart Cities: A Comprehensive Dataset For Ai-Driven Traffic Accident Detection And Computer Vision Systems	2024 IEEE 3rd International Conference on Computing and Machine Intelligence, ICMI 2024 - Proceedings (2024)
12042	0.855	Adewopo V.; Elsayed N.; Elsayed Z.; Ozer M.; Zekios C.L.; Abdelgawad A.; Bayoumi M.	Big Data And Deep Learning In Smart Cities: A Comprehensive Dataset For Ai-Driven Traffic Accident Detection And Computer Vision Systems	Conference Proceedings - IEEE SOUTHEASTCON (2024)