20 citations · 102 across the 42 of their papers we have counts for
4 papers · 1 filter
Identifying the Factors that Influence Urban Public Transit Demand
Armstrong Aboah, Lydia Johnson, Setul Shah
The rise in urbanization throughout the United States (US) in recent years has required urban planners and transportation engineers to have greater consideration for the transporta…
Comparative Analysis of Machine Learning Models for Predicting Travel Time
Armstrong Aboah, Elizabeth Arthur
In this paper, five different deep learning models are being compared for predicting travel time. These models are autoregressive integrated moving average (ARIMA) model, recurrent…
Mobile Sensing for Multipurpose Applications in Transportation
Armstrong Aboah, Michael Boeding, Yaw Adu-Gyamfi
Routine and consistent data collection is required to address contemporary transportation issues.The cost of data collection increases significantly when sophisticated machines are…
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees
Armstrong Aboah, Maged Shoman, Vishal Mandal +3
Any intelligent traffic monitoring system must be able to detect anomalies such as traffic accidents in real time. In this paper, we propose a Decision-Tree - enabled approach powe…