A trip detection model for individual smartphone-based GPS records with a novel evaluation method
Personal travel pattern is significant to transportation analysis and modeling, and the rapid development of in-depth application of location-based services makes it possible to obtain large-scale positioning data. So, it is crucial to develop proper algorithm to identify trips/trip-segments from in...
Main Authors: | Bao Wang, Linjie Gao, Zhicai Juan |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2017-06-01
|
Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814017705066 |
Similar Items
-
Trip characteristics impact on the frequency of harsh events recorded via smartphone sensors
by: Armira Kontaxi, et al.
Published: (2021-12-01) -
Exploring travellers’ risk preferences with regard to travel time reliability on the basis of GPS trip records
by: Weiliang Zeng, et al.
Published: (2018-01-01) -
Trip Purpose Imputation Using GPS Trajectories with Machine Learning
by: Qinggang Gao, et al.
Published: (2021-11-01) -
Multi-Objective Trip Planning Based on Ant Colony Optimization Utilizing Trip Records
by: Etsushi Saeki, et al.
Published: (2022-01-01) -
A Method for Deriving Trip Destinations and Modes for GPS-based Travel Surveys
by: Wendy Bohte, et al.
Published: (2008-09-01)