Using GPS Data to Understand Driving Behavior
نویسندگان
چکیده
منابع مشابه
Clusters of Driving Behavior from Observational Smartphone Data
Understanding driving behaviors is essential for improving safety and mobility of our transportation systems. Data is usually collected via simulator-based studies or naturalistic driving studies. Those techniques allow for understanding relations between demographics, road conditions and safety. On the other hand, they are very costly and time consuming. Thanks to the ubiquity of smartphones, ...
متن کاملYoung drivers' responses to anti-speeding advertisements: Comparison of self-report and objective measures of persuasive processing and outcomes.
OBJECTIVE Self-report measures are typically used to assess the effectiveness of road safety advertisements. However, psychophysiological measures of persuasive processing (i.e., skin conductance response [SCR]) and objective driving measures of persuasive outcomes (i.e., in-vehicle Global Positioning System [GPS] devices) may provide further insights into the effectiveness of these advertiseme...
متن کاملBuilt Environment and Driving Outcomes: The Case for an Integrated GIS/GPS Approach
This study demonstrates a segment-based approach to integrate GIS and GPS data to address questions about the connections between the built environment and travel behaviors. Methods and challenges of GPS/ GIS integration are discussed, and an application integrating GPS naturalistic driving data from Southeast Michigan together with GIS data from several sources is demonstrated. The integrated ...
متن کاملThe Role of Control Source and Risk Perception in Predicting Driving Behavior of Young Taxi Drivers in Karaj
The purpose of this study was to investigate the role of control source and risk perception in predicting the behavior of taxi drivers in Karaj. The research method was descriptive-correlation. The statistical population of this study was all 718 young taxi drivers in the city of Karaj. According to the Cochran formula at the level of 0.05, 250 young taxi drivers in Karaj were selected by avail...
متن کاملGetting start with UTDrive: driver-behavior modeling and assessment of distraction for in-vehicle speech systems
This paper describes our first step for advances in humanmachine interactive systems for in-vehicle environments of the UTDrive project. UTDrive is part of an on-going international collaboration to collect and research rich multi-modal data recorded for modeling behavior while the driver is interacting with speech-activated systems or performing other secondary tasks. A simultaneous second goa...
متن کامل