A review of data analytic applications in road traffic safety. Part 1: Descriptive and predictive modeling
This part of the review aims to reduce the start-up burden of data collection and descriptive
analytics for statistical modeling and route optimization of risk associated with motor …
analytics for statistical modeling and route optimization of risk associated with motor …
An international review of challenges and opportunities in development and use of crash prediction models
Purpose Over the past 10 years, building on road infrastructure data, crash prediction
models (CPMs) have become fundamental scientific tools for road safety management …
models (CPMs) have become fundamental scientific tools for road safety management …
Development of an accident prediction model for Italian freeways
F La Torre, M Meocci, L Domenichini, V Branzi… - Accident Analysis & …, 2019 - Elsevier
The roadway safety management process plays an important role in the national efforts for
improving road safety along the Italian freeway network. In 2016, 8.3% of the overall Italian …
improving road safety along the Italian freeway network. In 2016, 8.3% of the overall Italian …
Network-wide road crash risk screening: a new framework
M Bonera, B Barabino, G Yannis, G Maternini - Accident Analysis & …, 2024 - Elsevier
Network-wide road crash risk screening is a crucial issue for road safety authorities in
governing the impact of road infrastructures over road safety worldwide. Specifically …
governing the impact of road infrastructures over road safety worldwide. Specifically …
[PDF][PDF] Road accident prediction model using data mining techniques
Road Accident is an all-inclusive disaster with consistently raising pattern. In India according
to Indian road safety campaign every minute there is a road accident and almost 17 people …
to Indian road safety campaign every minute there is a road accident and almost 17 people …
Road infrastructure analysis with reference to traffic stream characteristics and accidents: An application of benchmarking based safety analysis and sustainable …
Road infrastructure sustainability is directly associated with the safety of human beings. As a
transportation engineer and policymaker, it is necessary to optimize the funding mechanism …
transportation engineer and policymaker, it is necessary to optimize the funding mechanism …
Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning
Traffic accidents are often inaccurately reported, with incorrect location and disruption
duration due to various external factors. This can result in imprecise predictions and …
duration due to various external factors. This can result in imprecise predictions and …
Development of a transnational accident prediction model
F La Torre, L Domenichini, M Meocci, D Graham… - Transportation research …, 2016 - Elsevier
Abstract The PRACT Project (Predicting Road ACcidents–a Transferable methodology
across Europe) is an ongoing project aimed at developing a European accident prediction …
across Europe) is an ongoing project aimed at developing a European accident prediction …
[PDF][PDF] Improving Road Safety by Affecting Negative Factors.
The current increase in automobilization leads to a decrease in road safety. Therefore, the
purpose of this research is to analyze and identify the causes that significantly affect the size …
purpose of this research is to analyze and identify the causes that significantly affect the size …
A predictive pedestrian crash model based on artificial intelligence techniques
Every year in Italy, there are about 20,000 road accidents involving pedestrians, with a
significant number of injuries and deaths. Out of these, about 30% occur at pedestrian …
significant number of injuries and deaths. Out of these, about 30% occur at pedestrian …