?url_ver=Z39.88-2004&rft_id=10.5204%2Fthesis.eprints.243836&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=A+corridor-level+pedestrian+crash+risk+assessment+framework+using+autonomous+vehicle+sensor+data&rft.creator=Singh%2C+Sunny&rft.subject=autonomous+vehicle&rft.subject=extreme+value+thory+model&rft.subject=pedestrian+safety+analysis&rft.subject=vulnerable+road+users&rft.subject=vehicle-pedestrian+conflict&rft.description=This+thesis+proposes+an+Extreme+Value+Theory+modelling+framework+to+assess+corridor-wide+pedestrian+crash+risk+using+autonomous+vehicle+sensor+data.+The+proposed+framework+was+applied+to+vehicle-pedestrian+traffic+conflicts+on+an+arterial+corridor+in+Miami%2C+USA%2C+captured+by+a+fleet+of+Argoverse+autonomous+vehicles%E2%80%94a+Ford+Motors+subsidiary.+The+proposed+extreme+value+modelling+framework+with+the+block+maxima+sampling+technique+has+been+found+to+provide+a+reasonable+estimate+of+historical+pedestrian+crash+frequencies+on+that+corridor.+This+thesis+demonstrates+the+potential+of+using+autonomous+vehicle+sensor+data+for+network-level+pedestrian+safety.&rft.publisher=Queensland+University+of+Technology&rft.date=2023-10-11&rft.type=Thesis&rft.format=application%2Fpdf&rft.relation=https%3A%2F%2Feprints.qut.edu.au%2F243836%2F1%2FSunny%252BSingh%252BThesis%25282%2529.pdf&rft.rights=free_to_read&rft.rights=http%3A%2F%2Fcreativecommons.org%2Flicenses%2Fby-nc-nd%2F4.0%2F&rft.relation=doi%3A10.5204%2Fthesis.eprints.243836&rft.relation=Singh%2C+Sunny+(2023)+A+corridor-level+pedestrian+crash+risk+assessment+framework+using+autonomous+vehicle+sensor+data.+Master+of+Philosophy+thesis%2C+Queensland+University+of+Technology.&rft.id_number=https%3A%2F%2Feprints.qut.edu.au%2F243836%2F&rft.identifier=Faculty+of+Engineering%3B+School+of+Civil+%26+Environmental+Engineering