Developing an Interactive Machine-Learning-based Approach for Sidewalk Digitalization

Ji Luo and Guoyuan Wu

Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis

Abstract: In urban areas, many socio-economic concerns have been raised regarding fatal collisions, traffic congestion, and deteriorated air quality due to increased travel and logistic demands as well as the existing on-road transportation systems. As one of the promising remedies, active transportation has been advocated, which may not only mitigate congestion on local streets, but also promote physical fitness, foster community livability, and boost local economy. To promote the active transportation mode, extensive work has been focused on planning and developing a number of pedestrian and bicyclist related programs which require the infrastructure, e.g., sidewalks, as a premise. A significant amount of these efforts have to go for the setup, maintenance and evaluation of the sidewalk inventory on a relatively large geographic scale (e.g., citywide, statewide), which lays a solid foundation for a variety of active-mobility-focused applications and related research. View the NCST Project Webpage

Keywords: Engineering; Crowdsourcing; Data fusion; Digital mapping; Geographic information systems; Information processing; Machine learning; Network analysis (Planning); Pedestrians; Sidewalks (search for similar items in EconPapers)
Date: 2018-01-01
New Economics Papers: this item is included in nep-big and nep-ure
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.escholarship.org/uc/item/6ht5185q.pdf;origin=repeccitec (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cdl:itsdav:qt6ht5185q

Access Statistics for this paper

More papers in Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().