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Utilizing GIS and Machine Learning for Traffic Accident Prediction in Urban Environment.

• Authors : Khan, Atif Ali¹ ; Hussain, Jawad¹

Subjects: *COMPUTER vision; *RANDOM forest algorithms; *DECISION trees

• Source: Civil Engineering Journal (2476-3055). Jun2024, Vol. 10 Issue 6, p1922-1935. 14p.

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Beyond Conventional Monitoring: A Semantic Segmentation Approach to Quantifying Traffic-Induced Dust on Unsealed Roads.

• Authors : de Silva, Asanka¹ (AUTHOR) ; Ranasinghe, Rajitha¹ (AUTHOR) ; Sounthararajah, Arooran¹ (AUTHOR)

• Source: Sensors (14248220). Jan2024, Vol. 24 Issue 2, p510. 15p.

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A Two-Stage Sequential Framework for Traffic Accident Post-Impact Prediction Utilizing Real-Time Traffic, Weather, and Accident Data.

• Authors : Abdi, Amirhossein¹ (AUTHOR); Seyedabrishami, Seyedehsan¹ (AUTHOR); O'Hern, Steve² (AUTHOR)

• Source: Journal of Advanced Transportation. 6/30/2023, p1-16. 16p.

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Pavement Roughness Prediction Using Explainable and Supervised Machine Learning Technique for Long-Term Performance.

• Authors : Sandamal, Kelum¹ (AUTHOR) ; Shashiprabha, Sachini¹ (AUTHOR); Muttil, Nitin^2,3 (AUTHOR)

Subjects: *MACHINE learning; *ASPHALT concrete pavements; *SUSTAINABLE transportation

• Source: Sustainability (2071-1050). Jun2023, Vol. 15 Issue 12, p9617. 17p.

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ENHANCING THE RELIABILITY OF INTELLIGENT TRANSPORT SYSTEM BASED ON VANET OPTIMAL CLUSTERING USING GRASSHOPPER OPTIMIZATION ALGORITHM.

• Authors : WILFRED, C. BAZIL¹ ; SELVI, S.²; SANJITH, S.³

• Source: Journal of the Balkan Tribological Association. 2023, Vol. 29 Issue 3, p306-321. 16p.

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Road-Type Classification with Deep AutoEncoder.

• Authors : Molefe, Mohale E.¹ (AUTHOR); Tapamo, Jules R.¹ (AUTHOR)

• Source: Computational Intelligence & Neuroscience. 3/14/2023, p1-14. 14p.

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Using Machine Learning on V2X Communications Data for VRU Collision Prediction.

• Authors : Ribeiro, Bruno¹ (AUTHOR) ; Nicolau, Maria João² (AUTHOR); Santos, Alexandre¹ (AUTHOR)

• Source: Sensors (14248220). Feb2023, Vol. 23 Issue 3, p1260. 19p.

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Econometric and Machine Learning Methods to Identify Pedestrian Crash Patterns.

• Authors : Rella Riccardi, Maria¹ (AUTHOR) ; Galante, Francesco¹ (AUTHOR); Scarano, Antonella¹ (AUTHOR)

Subjects: *PEDESTRIANS; *LOGISTIC regression analysis; *ROAD usersITALY

• Source: Sustainability (2071-1050). Nov2022, Vol. 14 Issue 22, p15471. 19p.

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Application of Extremely Randomised Trees for exploring influential factors on variant crash severity data.

• Authors : Afshar, Farshid¹ (AUTHOR); Seyedabrishami, Seyedehsan¹ (AUTHOR) ; Moridpour, Sara² (AUTHOR)

• Source: Scientific Reports. 7/7/2022, Vol. 12 Issue 1, p1-19. 19p.

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Drowsiness Detection Using Ocular Indices from EEG Signal.

• Authors : Tarafder, Sreeza¹ (AUTHOR) ; Badruddin, Nasreen¹ (AUTHOR) ; Yahya, Norashikin¹ (AUTHOR)

• Source: Sensors (14248220). Jul2022, Vol. 22 Issue 13, p4764-N.PAG. 17p.

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