Geospatial Analysis and Modeling

Geospatial Analysis for Transportation Research

4106.3 - From Crowdsourcing Trajectory to Street Center-line Network: A Method Based on Delaunay Triangulation

Tuesday, July 4
9:10 AM - 9:30 AM
Location: Maryland A

This study tries to explore the question of street center-line network construction by large volume of vehicle trajectory data, presenting a method based on Deluanay triangulation. The whole method includes three steps. The first one is to pre-process the vehicle trajectory data including the point anomaly removing and the conversion of trajectory point to track line. Secondly, construct Deluanay triangulation within the vehicle trajectory line to detect neighborhood relation. Considering the case that some of the trajectory segments are too long, we use a interpolation measure to add more points for the improved triangulation. Thirdly, extract the transport road by cutting short triangle edge and organizing the polygon topology. Finally build the Delaunay triangulation again within the street polygon and then extract street center-line to build network.

Wei Yang

Phd
School of Resource and Environmental Sciences, Wuhan University

Wei Yang,born in 1987.Ph.D Candidates in Wuhan University.His major is GIS and Cartography ,and his main research interest is spatiotemporal trajectory data mining ,movement mapping and visualization.

Presentation(s):

Send Email for Wei Yang

Tinghua Ai

Wuhan University

Tinghua Ai received the PhD in 2000 in the topic of generalization from Wuhan University, China. He is a full professor and head of department of cartography and geography information engineering at school of resource and environment sciences, Wuhan University. His main research interests include map generalization, visualization and spatial cognition. He has published more than 100 papers in refereed conferences and journals.

Presentation(s):

Send Email for Tinghua Ai

Bin Jiang

Professor
University of Gavle

Dr. Bin Jiang is Professor at Faculty of Engineering and Sustainable Development of the University of Gävle, Sweden. His research interests center on geospatial analysis of urban structure and dynamics, e.g., topological analysis, scaling hierarchy, and agent-based modeling applied to buildings, streets, and cities, or geospatial big data in general. He developed Axwoman for topological analysis (http://fromto.hig.se/~bjg/axwoman/), and head/tail breaks for scaling analysis (https://en.wikipedia.org/wiki/Head/tail_Breaks). Inspired by Christopher Alexander’s work, he developed a mathematical model of beauty – beautimeter, which helps address not only why a design is beautiful, but also how much beauty the design has.

Presentation(s):

Send Email for Bin Jiang


Assets

4106.3 - From Crowdsourcing Trajectory to Street Center-line Network: A Method Based on Delaunay Triangulation



Attendees who have favorited this

Please enter your access key

The asset you are trying to access is locked. Please enter your access key to unlock.

Send Email for From Crowdsourcing Trajectory to Street Center-line Network: A Method Based on Delaunay Triangulation