Výsledky vyhledávání - "Driving Volatility"

Akademický článek

Extracting driving volatility from connected vehicle data in exploring Space-Time relationships with crashes in the city of Saint Louis

Autor: Abdul Rashid Mussah, Yaw Adu-Gyamfi

Publikováno v: Transportation Research Interdisciplinary Perspectives, Vol 24, Iss , Pp 101051- (2024)

The analysis of factors that influence the occurrence of roadway crashes within a specified locality have historically been reliant on the assessment of physical infrastructure, historical crash frequency, environmental factors and driver characteris

Externí odkaz: https://doaj.org/article/c720d35ad20f44f4a6f0fe46cf75af5e

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Akademický článek

A combined framework of Biplots and Machine Learning for real-world driving volatility and emissions data interpretation

Autor: Ferreira, E., Macedo, E., Fernandes, P., Coelho, M.C.

Publikováno v: In Sustainable Cities and Society December 2023 99

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Akademický článek

Micro-analysis of a single vehicle driving volatility and impacts on emissions for intercity corridors.

Autor: Ferreira, Elisabete¹ (AUTHOR), Fernandes, Paulo¹ (AUTHOR), Bahmankhah, Behnam¹ (AUTHOR), Coelho, Margarida C.¹ (AUTHOR)

Publikováno v: International Journal of Sustainable Transportation. 2022, Vol. 16 Issue 8, p681-705. 25p. 1 Diagram, 11 Charts, 15 Graphs.

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Report

The relationship between driving volatility in time to collision and crash injury severity in a naturalistic driving environment

Autor: Wali, Behram, Khattak, Asad, Karnowski, Thomas

As a key indicator of unsafe driving, driving volatility characterizes the variations in microscopic driving decisions. This study characterizes volatility in longitudinal and lateral driving decisions and examines the links between driving volatilit

Externí odkaz: http://arxiv.org/abs/2010.04719

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Harnessing Ambient Sensing & Naturalistic Driving Systems to Understand Links Between Driving Volatility and Crash Propensity in School Zones: A generalized hierarchical mixed logit framework

Autor: Wali, Behram, Khattak, Asad

Publikováno v: Volume 114, May 2020, Pages 405-424

With the advent of seemingly unstructured big data, and through seamless integration of computation and physical components, cyber-physical systems (CPS) provide an innovative way to enhance safety and resiliency of transport infrastructure. This stu

Externí odkaz: http://arxiv.org/abs/2010.12017

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