Effects of Autonomous Vehicles on the Signalized Intersections’ Performance by Noaman, Mahmoud Atef

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Impact of Using Indirect Left-turns on Signalized Intersections by Taha, Mahmoud Ahmed

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Reinforcement Learning-Based Control of Signalized Intersections Having Platoons by Anas Berbar (16905102)

“…It is shown that the proposed DA solution improves the average delay by 47.3% and the fuel efficiency by 13.6% compared to the Intelligent Driver Model (IDM).…”

An exact modelling of the uniform control traffic delay in undersaturated signalized intersections by Fawaz, Wissam

“…The average delay experienced by vehicles at a signalized intersection defines the level of service (LOS) at which the intersection operates. …”
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A practical decentralized access protocol for autonomous vehicles at isolated under-saturated intersections by Khoury, John

“…The majority of research efforts in the field of access control of autonomous vehicles at intersections are geared towards fully connected vehicles. …”
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Characterization of heavy vehicle headways in oversaturated interrupted conditions: Towards development of passenger car equivalency factors by Ghanim, Mohammad Shareef

“…Passenger car equivalency (PCE) of heavy trucks is often studied using filed observation and microscopic simulation models, especially for signalized intersections. While the Highway Capacity Manual recommends a single value regardless of the percentage of those heavy vehicles, literatures have shown that this equivalency is affected by different factors, including the trucks percentage. …”
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Impact of Exclusive Bus Lanes on Traffic Performance in Urban Areas by Abdulwahid, Amro Riyadh

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A novel approach to collision hotspot identification accounting for regression to the mean and trend by Timo Hoffmann (10888739)

“…As in a standard retrospective before-after study to evaluate the effectiveness of a change in e.g. the geometric design of an intersection, observed collision rates are adjusted using values from a suitable crash prediction model (CPM). …”

Implementation of Deep Learning for Measurement of Penile Curvature on Real 2D Intraoperative Images by Sriman Bidhan Baray (15302398)

“…</p><h3 dir="ltr">Results</h3><p dir="ltr">The proposed system demonstrated a high level of reliability in localizing penile areas, as evidenced by a mean average precision score of 99.4%. Furthermore, our pipeline exhibited strong performance in the segmentation task, achieving an impressive Intersection over the Union metric of 83.56% and a Dice Similarity Coefficient of 91.02%. …”