Mohammad A. Aljamal
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View article: Evaluating a Signalized Intersection Performance Using Unmanned Aerial Data
Evaluating a Signalized Intersection Performance Using Unmanned Aerial Data Open
This paper presents a novel method to compute various measures of effectiveness (MOEs) at a signalized intersection using vehicle trajectory data collected by flying drones. MOEs are key parameters in determining the quality of service at …
View article: Evaluating a Signalized Intersection Performance Using Unmanned Aerial Data
Evaluating a Signalized Intersection Performance Using Unmanned Aerial Data Open
This paper presents a novel method to compute various measures of effectiveness (MOEs) at a signalized intersection using vehicle trajectory data collected by flying drones. MOEs are key parameters in determining the quality of service at …
View article: Evaluating a Signalized Intersection Performance Using Unmanned Aerial Data
Evaluating a Signalized Intersection Performance Using Unmanned Aerial Data Open
View article: Real-Time Estimation of Vehicle Counts on Signalized Intersection Approaches Using Probe Vehicle Data
Real-Time Estimation of Vehicle Counts on Signalized Intersection Approaches Using Probe Vehicle Data Open
This paper presents a novel method for estimating the number of vehicles\ntraveling along signalized approaches using probe vehicle data only. The\nproposed method uses the Kalman Filtering technique to produce reliable vehicle\ncount esti…
View article: Real-Time Estimation of Traffic Stream Density using Connected Vehicle Data
Real-Time Estimation of Traffic Stream Density using Connected Vehicle Data Open
The macroscopic measure of traffic stream density is crucial in advanced traffic management systems. However, measuring the traffic stream density in the field is difficult since it is a spatial measurement. In this dissertation, several e…
View article: Developing Data-Driven Approaches for Traffic Density Estimation Using Connected Vehicle Data
Developing Data-Driven Approaches for Traffic Density Estimation Using Connected Vehicle Data Open
This paper introduces novel approaches for the estimation of the traffic stream density. First, an artificial neural network (ANN) data-driven approach is developed to estimate the level of market penetration (LMP) of connected vehicles at…