Predicting travel time within catchment area using Time Travel Voronoi Diagram (TTVD) and crowdsource map features

作者：

Highlights：

• Propose a Computational Geometry approach to predict the time-based catchment area.

• Evaluate realistic road obstacles and crowdsource trajectories for realistic estimation model.

• Evaluate the model using ambulance stations and road data in metropolitan Melbourne.

摘要

•Propose a Computational Geometry approach to predict the time-based catchment area.•Evaluate realistic road obstacles and crowdsource trajectories for realistic estimation model.•Evaluate the model using ambulance stations and road data in metropolitan Melbourne.

论文关键词：00-01,99-00,Time Travel Voronoi Diagram,Crowdsource,Speed reduction,Road obstacles

论文评审过程：Received 1 November 2021, Revised 26 January 2022, Accepted 25 February 2022, Available online 21 March 2022, Version of Record 21 March 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2022.102922