In|Vehicle Data for Predicting Road Conditions and Driving Style ...

In-Vehicle Data for Predicting Road Conditions and Driving Style ...

A low-cost machine learning system that uses in-vehicle data is proposed to solve three categorization problems; road surface conditions, road traffic ...

(PDF) In-Vehicle Data for Predicting Road Conditions and Driving ...

Random forests, decision trees and support vector machine algorithms were evaluated to predict road conditions and driving style from labeled ...

In-Vehicle Data for Predicting Road Conditions and Driving Style ...

This in-vehicle data can be used with machine learning algorithms to predict valuable information about the vehicle and roads. In this work, a low-cost machine ...

In-Vehicle Data for Predicting Road Conditions and Driving Style ...

Document Type: Article ; Subject Terms: *TRAFFIC safety *MACHINE learning *IN-vehicle computing *RANDOM forest algorithms *PAVEMENTS *DECISION trees ; Keywords: ...

In-Vehicle Data for Predicting Road Conditions and Driving ... - OUCI

Random forests, decision trees and support vector machine algorithms were evaluated to predict road conditions and driving style from labeled CAN data. These ...

Improving Driving Style in Connected Vehicles via Predicting Road ...

Based on prediction results using ensemble learning and similarity in driving styles, road surface conditions, and traffic conditions, an ensemble learning ...

A Systematic Methodology to Evaluate Prediction Models for Driving ...

Identifying driving styles using classification models with in-vehicle data can provide automated feedback to drivers on their driving behavior, ...

(PDF) Prediction of Traffic, Driving Style and Road Surface Condition

This report presents novel approaches for predicting traffic and road surface conditions as well driving styles with ML models utilizing features extracted ...

Traffic, Driving Style and Road Surface Condition - Kaggle

... driver, vehicle and environment. Predicted attribute: road surface, traffic and driving style. Data related to the following cars: Peugeot 207 1.4 HDi (70 CV).

Classifying travelers' driving style using basic safety messages ...

In this study, location-based big data and machine learning are used to classify driving styles ranging from aggressive to calm.

Real-time forecasting of driver-vehicle dynamics on 3D roads

It consists of two components. The first, a neural network predictor, is based on Long Short-Term Memory autoencoders and fuses the information on the road ...

Predictive road condition services - Bosch Mobility

... driving by providing predictive information on road conditions ... Combine. road and weather expertise with vehicle data. Deliver. real-time ...

Review of driving conditions prediction and driving style recognition ...

Abstract: The performance of a vehicle control strategy, in terms of fuel economy improvement and emission reduction, is strongly influenced by driving ...

Driving Risk Assessment Based on High-frequency, High-resolution ...

This telematics data provides comprehensive information on driving style, driving environment, road condition, and vehicle conditions. ... predicted. This ...

A systematic review of factors, data sources, and prediction ...

... driver and vehicle factors when predicting traffic collisions in Florida (US). ... weather conditions, traffic volume, road conditions, driver ...

Prediction of Dangerous Driving Behavior Based on Vehicle Motion ...

... in vehicle motions instead of the specific information on driver's driving style, road conditions, and so on. Second, the input data of neural network are ...

Using naturalistic driving data to identify driving style based on ...

This study aims to establish a driving style recognition framework based on longitudinal driving operation conditions (DOCs) using a machine learning model and ...

Incorporating driving behavior into vehicle fuel consumption prediction

To test the framework, we used a naturalistic data that includes about 5408 different road users in a mixed traffic environment and urban ...

Using naturalistic driving data to identify driving style based on ...

The framework for rapid identification of driving styles proposed in this research may be applied in intelligent connected and vehicle-road cooperative ...

Using naturalistic driving data to identify driving style based on ...

In a naturalistic driving environment, due to the influence of road conditions, traffic conditions, driver characteristics and other impactful ...