Danyang Sun

« Identification of Common Paths for Rideshare Routing by Mining Vehicle Trajectories »SUN Danyang & LEURENT Fabien Transportation Research Record (2023) Article publié dans la revue Transportation Research Record le 9 juillet 2023 (Volume: 2678) Résumé Trajectory data generated from various location sensors are increasingly available nowadays, providing comprehensive information on detailed itineraries that can […]

« On Heterogenous Sampling Rates in Origin–Destination Matrix Estimation Based on Trajectory Data and Link Counts »Fabien LEURENT, Danyang SUN et Xiaoyan XIETransportation Research Record (2022) Article publié dans la revue « Transportation Research Record » 2677/1 Abstract Being a fundamental metric of the transportation network, the origin–destination (O-D) flow matrix is a critical input for

« Discovering vehicle usage patterns on the basis of daily mobility profiles derived from floating car data »Danyang SUN, Fabien LEURENT, Xiaoyan XIETransportation Letters (2021) Article publié dans la revue « Transportation Letters » Volume 13, Issue 3, 2021, Pages 163-171 Résumé This paper presents a novel approach for establishing vehicle usage patterns by Floating Car

« Uncovering mobility typologies of territorial zones based on Floating Car Data mining » Danyang SUN, Fabien LEURENT et Xiaoyan XIETransportation Research Procedia (2021) Article publié dans la revue « Transportation Research Procedia » Volume 52, 2021, Pages 708-715 Abstract This paper describes a data exploration study using Floating Car Data to analyze mobility patterns of

« Mining Vehicle Trajectories to Discover Individual Significant Places: Case Study using Floating Car Data in the Paris Region »Danyang SUN, Fabien LEURENT et Xiaoyan XIETransportation Research Record (2021) Article publié dans la revue « Transportation Research Record » Volume 2675, Issue 8 Résumé In this study we discovered significant places in individual mobility by exploring vehicle trajectories from floating car data. The