Sensor-Based Multi-Dimensional Approaches for Extracting Power-Two-Wheeler Driving Patterns in Various Road Environments and Lighting Conditions - 2016

A paper titled 'Sensor-Based Multi-Dimensional Approaches for Extracting Power-Two-Wheeler Driving Patterns in Various Road Environments and Lighting Conditions' authored by Eleni Vlahogianni, George Yannis and John Golias is now published in Advances in Transportation Studies. Data from a naturalistic Powered Two Wheelers (PTW) driving experiment are exploited using principalcomponent analysis to identify the critical PTW driving characteristics and their combinations with the finalaim to reveal useful insights on the PTW driving patterns emerging on the road. Data are collected indifferent road environments, ranging from urban road arterials to suburban roads. The analyses reveal three prevailing PTW driving patterns: i. Acceleration, ii. Maneuvering, and iii. Braking. These patterns areobserved in both inside and outside urban areas and regardless of the lighting conditions (daylight, dusk, andnight). Nevertheless, although acceleration and maneuvering patterns contain the same driving variables inall driving cases examined, braking is conducted in a varying manner with respect to the type of the area andthe time of day.

ΠΗΓΗ: Ε.Μ.Π