Identifying the impact of the COVID-19 pandemic on driving behavior using naturalistic driving data and time series forecasting

2019 Novel coronavirus: where we are and what we know

(2020) Zhangkai J. Cheng et al.   INFECTION

Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study

(2020) Joseph T Wu et al.   LANCET

Hybrid machine learning algorithm and statistical time series model for network-wide traffic forecast

(2020) Tao Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

How will country-based mitigation measures influence the course of the COVID-19 epidemic?

(2020) Roy M Anderson et al.   LANCET

Estimating the Necessary Amount of Driving Data for Assessing Driving Behavior

(2020) Anna-Maria Stavrakaki et al.   SENSORS

Effects of the COVID-19 Lockdown on Urban Mobility: Empirical Evidence from the City of Santander (Spain)

(2020) Alfredo Aloi et al.   Sustainability

COVID-19 lockdown and fatal motor vehicle collisions due to speed-related traffic violations in Japan: a time-series study

(2020) Haruhiko Inada et al.   INJURY PREVENTION

Analysis of driver behaviour through smartphone data: The case of mobile phone use while driving

(2019) Eleonora Papadimitriou et al.   SAFETY SCIENCE

Driving safety efficiency benchmarking using smartphone data

(2019) Dimitrios I. Tselentis et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Dynamic factor model for network traffic state forecast

(2018) Tao Ma et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Short-term traffic flow prediction using seasonal ARIMA model with limited input data

(2015) S. Vasantha Kumar et al.   European Transport Research Review

Short-term traffic flow prediction using seasonal ARIMA model with limited input data

(2015) S. Vasantha Kumar et al.   European Transport Research Review

Automatic Time Series Forecasting: TheforecastPackage forR

(2015) Rob J. Hyndman et al.   Journal of Statistical Software

Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning

(2013) Marco Lippi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Memory properties and fractional integration in transportation time-series

(2009) Matthew G. Karlaftis et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES