The relationship between ambient temperatures and road traffic injuries: a systematic review and meta-analysis

M Liang, M Min, X Guo, Q Song, H Wang, N Li… - … Science and Pollution …, 2022 - Springer
Traffic accidents cause considerable economic losses and injuries. Although the adverse
effects of a change in ambient temperatures on human health have been widely …

A comparison between seasonal autoregressive integrated moving average (SARIMA) and exponential smoothing (ES) based on time series model for forecasting …

MBA Rabbani, MA Musarat, WS Alaloul… - Arabian Journal for …, 2021 - Springer
Road safety guidelines are not properly implemented and are not diverse enough to counter
an annual increase in traffic volume. The mitigation techniques of road regulating bodies …

Forecasting road traffic deaths in Thailand: Applications of time-series, curve estimation, multiple linear regression, and path analysis models

S Jomnonkwao, S Uttra, V Ratanavaraha - Sustainability, 2020 - mdpi.com
In 2018, 19,931 people were killed in road accidents in Thailand. Thus, reduction in the
number of accidents is urgently required. To provide a master plan for reducing the number …

The comparative analysis of SARIMA, Facebook Prophet, and LSTM for road traffic injury prediction in Northeast China

T Feng, Z Zheng, J Xu, M Liu, M Li, H Jia… - Frontiers in public …, 2022 - frontiersin.org
Objective This cross-sectional research aims to develop reliable predictive short-term
prediction models to predict the number of RTIs in Northeast China through comparative …

Forecasting time trend of road traffic crashes in Iran using the macro-scale traffic flow characteristics

H Nassiri, SI Mohammadpour, M Dahaghin - Heliyon, 2023 - cell.com
Background The serial correlation in the time series datasets should be considered to
prevent biased estimates for coefficients. Nonetheless, the current models almost cannot …

Practical Minimum Sample Size for Road Crash Time‐Series Prediction Models

FMA Hassouna, K Al-Sahili - Advances in civil engineering, 2020 - Wiley Online Library
Road crashes are problems facing the transportation sector. Crash data in many countries
are available only for the past 10 to 20 years, which makes it difficult to determine whether …

Causes of road accidents in Botswana: An econometric model

T Mphela - Journal of Transport and Supply Chain Management, 2020 - journals.co.za
Background: Road traffic accidents claim over 1.3 million lives annually around the globe
and remain a key socio-economic challenge today. At 20.1 per 100 000, Botswana's fatality …

Review previous studies of machine learning techniques to analyze road traffic accidents in different countries

S Alhaddad, AM Zeki - … on Data Analytics for Business and …, 2023 - ieeexplore.ieee.org
RTAs are considered public health issues. For that, many countries and organizations, such
as the Gulf Cooperation Council and United Nations, are trying to reduce the number of …

Analysis and modeling of road crash trends in Palestine

FMA Hassouna, S Abu-Eisheh, K Al-Sahili - Arabian Journal for Science …, 2020 - Springer
This paper presents an analysis of road traffic crashes in Palestine. Over the period of the
past 5 decades, there have been uncommon and sever changes in the annual number of …

Extreme environmental temperatures and motorcycle crashes: a time-series analysis

MJ Zare Sakhvidi, J Yang, D Mohammadi… - … Science and Pollution …, 2022 - Springer
Extreme temperature could affect traffic crashes by influencing road safety, vehicle
performance, and drivers' behavior and abilities. Studies evaluating the impacts of extreme …