Article2008

Using GPS Data to Understand Driving Behavior

Joe Grengs · Xiaoguang Wang · Lidia P. Kostyniuk

79 citations0/0 files storedJournal of Urban Technology

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Transportation Planning and Optimization Traffic Prediction and Management Techniques Human Mobility and Location-Based Analysis

Abstract

Travel-demand modeling is evolving away from relying on crude data aggregated at large urban zones toward using highly disaggregated approaches where individual travelers are modeled by interacting...

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References

2000Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set 1999Measuring Space‐Time Accessibility Benefits within Transportation Networks: Basic Theory and Computational Procedures 2001Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data 1999Can using global positioning system (GPS) improve trip reporting?1999Measuring Space‐Time Accessibility Benefits within Transportation Networks: Basic Theory and Computational Procedures 2006Increasing the accuracy of trip rate information from passive multi-day GPS travel datasets: Automatic trip end identification issues

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2018Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment 2010Finding food: Issues and challenges in using Geographic Information Systems (GIS) to measure food access 2019Transport System Models and Big Data: Zoning and Graph Building with Traditional Surveys, FCD and GIS 2021Estimation of Travel Demand Models with Limited Information: Floating Car Data for Parameters’ Calibration 2013Neighbourhood for Playing: Using GPS, GIS and Accelerometry to Delineate Areas within which Youth are Physically Active

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