Framework for evaluating the reliability of wide-area probe data

YO Adu-Gyamfi, A Sharma… - Transportation …, 2017 - journals.sagepub.com
This paper presents a framework for evaluating the reliability of probe-sourced traffic speed
data for detection of congestion and assessment of roadway performance. The methodology …

Reliability of probe speed data for detecting congestion trends

Y Adu-Gyamfi, A Sharma… - 2015 IEEE 18th …, 2015 - ieeexplore.ieee.org
This paper presents a framework for evaluating the reliability of probe-sourced traffic speed
data for congestion detection and general infrastructure performance assessment. The …

A framework for automated time-lapse thermography data processing

M Al Gharawi, Y Adu-Gyamfi, G Washer - Construction and Building …, 2019 - Elsevier
The current research develops a framework to automatically extract sub-surface defects from
time-lapse thermography (TLT) images of reinforced concrete bridge components …

Floating car data‐based method for detecting flooding incident under grade separation bridges in Beijing

G Song, F Zhang, J Liu, L Yu, Y Gao… - IET Intelligent Transport …, 2015 - Wiley Online Library
The congestion caused by a special type of incident that is different from a normal incident,
namely the flooding incident under grade separation bridges, has shown to be a serious …

Traffic sign recognition using sparse representations and active contour models

AGY Okyere, N Attoh-Okine - Transportation Research …, 2014 - journals.sagepub.com
Automated traffic sign recognition (TSR) remains an integral component of road sign
inventory programs administered by transportation agencies. However, current practices for …

Traffic speed prediction for urban arterial roads using deep neural networks

Y Adu-Gyamfi, M Zhao - International Conference on Transportation …, 2018 - ascelibrary.org
There has been a growing interest in the development of traffic speed prediction engines in
recent decades, especially for urban arterial roads to aid in either the early detection of traffic …

Machine Learning Framework for Improving Accuracy of Probe Speed Data

L Phuong Uong, Y Adu-Gyamfi… - ASCE-ASME Journal of …, 2021 - ascelibrary.org
A tremendous potential exists for using probe data to support various traffic operations
activities. However, limited real-time probe data, especially on arterial roads, have become a …

[PDF][PDF] THE FLORIDA DEPARTMENT OF TRANSPORTATION

S Ranka, A Rangarajan - cflsmartroads.com
Task 3 Deliverable: Upon completion of Task 3, the University will submit to the Research
Center at research. center@ dot. state. fl. us written a Technical Memorandum that provides …

Traffic-Event Unification System Highlighting Arterial Roads

Y Karnati, D Mahajan, A Rangarajan, S Ranka - 2020 - rosap.ntl.bts.gov
Detection of traffic interruptions (caused by vehicular breakdowns, road accidents, etc.) is a
critical aspect of managing traffic on urban road networks. This work outlines a semi …