[HTML][HTML] Weather and surface condition detection based on road-side webcams: Application of pre-trained convolutional neural network

MN Khan, MM Ahmed - International journal of transportation science and …, 2022‏ - Elsevier
Adverse weather has long been recognized as one of the major causes of motor vehicle
crashes due to its negative impact on visibility and road surface. Providing drivers with real …

Multilevel weather detection based on images: A machine learning approach with histogram of oriented gradient and local binary pattern-based features

MN Khan, A Das, MM Ahmed… - Journal of Intelligent …, 2021‏ - Taylor & Francis
The primary objective of this study was to develop a trajectory-level weather detection
system capable of providing real-time weather information at the road surface level using …

Deep learning approach for detecting lane change maneuvers using SHRP2 naturalistic driving data

A Das, MN Khan, MM Ahmed - Transportation research …, 2023‏ - journals.sagepub.com
Changing lane is a complex driving maneuver and could have a significant effect on traffic
safety. Therefore, develo** accurate and timely lane change detection systems could …

[HTML][HTML] Real-time risk assessment for road transportation of hazardous materials based on GRU-DNN with multimodal feature embedding

S Yu, Y Li, Z Xuan, Y Li, G Li - Applied Sciences, 2022‏ - mdpi.com
In this paper, a gated recurrent unit–deep neural network (GRU-DNN) model integrated with
multimodal feature embedding (MFE) is developed to evaluate the real-time risk of hazmat …

Assessment of large trucks crash severity on a rural interstate road in Wyoming using decision trees and structural equation model

SM Gaweesh, IU Ahmed, MM Ahmed - Journal of Transportation …, 2024‏ - ascelibrary.org
Promoting the safety of commercial trucks by identifying countermeasures that
eliminate/reduce the effect of factors that increase the severity of truck-related crashes is …

[PDF][PDF] Identification of hazardous road sites: a comparison of blackspot methodology of Narogong Road Bekasi and Johor Federal Roads

M Isradi, H Dwiatmoko, J Prasetijo, AI Rifai… - Sinergi (Indonesia …, 2024‏ - core.ac.uk
A traffic accident is an unexpected and inadvertent road event involving a vehicle with or
without other road users that results in human injuries and possibly property damage. This …

Develo** statewide safety performance functions for commercial trucks transporting hazardous materials on interstate rural roads in Wyoming

SM Gaweesh, IU Ahmed… - Transportation …, 2023‏ - journals.sagepub.com
Truck crashes in Wyoming are considered a major issue. Nearly 26% of crashes on rural
interstate roads involve hazardous materials (HAZMAT) trucks. Wyoming has a high rate of …

A Visual and Textual Information Fusion-Based Zero-Shot Framework for Hazardous Material Placard Detection and Recognition

R Zhang, Z Bahrami, K Feng… - IEEE Transactions on …, 2023‏ - ieeexplore.ieee.org
Automatically detecting and recognizing hazardous material placards using computer vision-
based methods ensures safe operations and proper management of dangerous freight …

THE DEVELOPMENT AND CHANGES OF TRIPLE JUMPERS'BALANCE BOARD COMBINED WITH SPECIAL TRAINING BY DEEP LEARNING APPROACH

H Wang, J Zhou, Z LI, Y Tao - Journal of Mechanics in Medicine and …, 2023‏ - World Scientific
This study aims to improve the athletic performance of triple jumpers in special physical
training. First, the triple jumper's balance board is explained with the special training …