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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Preparing Cities For An Automated Future, Benjamin Y. Clark
Preparing Cities For An Automated Future, Benjamin Y. Clark
TREC Project Briefs
This report is an examination of parking, curb zones, and government service changes in the context of AVs. Given that there are very few actual AVs on the road, the analysis in this report is an attempt to project what we might see, using the current phenomenon as starting points. The report uses a mix of econometric modeling, cost accounting, and case studies to illustrate these projections. The first section of this report looks at the effects of transportation network companies (TNCs)—Uber and Lyft in particular—on parking revenue in the city of Seattle. The results of the study indicate that …
How Will Autonomous Vehicles Change Local Government Budgeting And Finance? Case Studies Of On-Street Parking, Curb Management, And Solid Waste Collection, Benjamin Y. Clark
How Will Autonomous Vehicles Change Local Government Budgeting And Finance? Case Studies Of On-Street Parking, Curb Management, And Solid Waste Collection, Benjamin Y. Clark
TREC Final Reports
This report is an examination of parking, curb zones, and government service changes in the context of AVs. Given that there are very few actual AVs on the road, the analysis in this report is an attempt to project what we might see, using the current phenomenon as starting points. The report uses a mix of econometric modeling, cost accounting, and case studies to illustrate these projections. The first section of this report looks at the effects of transportation network companies (TNCs)—Uber and Lyft in particular—on parking revenue in the city of Seattle. The results of the study indicate that …
Deriving Lane-Level Insight From Gps Data: Innovations For Traffic & Autonomous Driving, James Fowe
Deriving Lane-Level Insight From Gps Data: Innovations For Traffic & Autonomous Driving, James Fowe
PSU Transportation Seminars
With the on-going disruption of the transportation industry and rapid advancement in ITS technologies; emerging smart cities, navigation systems and autonomous transportation, the need for highly accurate geospatial localization has never been more crucial. These technologies demand that we have more granular location information of vehicles not just on a road, but to a specific lane on the road.
This presentation will give a pedagogical style summary and overview of some of the on-going research work at HERE Technologies and how we have pushed the state-of-the-art in lane-localization of noisy GPS probe data using novel Machine Learning Algorithms and how …