Browsing Qatar Transportation and Traffic Safety Center by Author "Elhenawy, Mohammed"
Now showing items 1-4 of 4
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Application of Unsupervised Machine Learning Classification for the Analysis of Driver Behavior in Work Zones in the State of Qatar
Khanfar, Nour O.; Ashqar, Huthaifa I.; Elhenawy, Mohammed; Hussain, Qinaat; Hasasneh, Ahmad; Alhajyaseen, Wael K.M.... more authors ... less authors ( Elsevier , 2022 , Article)Work zone areas are commonly known as crash-prone areas. Thus, they usually receive high priority by road operators as drivers and workers have higher chances of being involved in road crashes. The paper aims to investigate ... -
Driving behavior classification at signalized intersections using vehicle kinematics: Application of unsupervised machine learning
Khanfar, Nour O.; Elhenawy, Mohammed; Ashqar, Huthaifa I.; Hussain, Qinaat; Alhajyaseen, Wael K.M. ( Taylor & Francis , 2022 , Article)Driving behavior is considered as a unique driving habit of each driver and has a significant impact on road safety. This study proposed a novel data-driven Machine Learning framework that can classify driving behavior at ... -
Fuel consumption at signalized intersections: Investigating the impact of different signal indication settings
Ibrahim, Albool; Ashqar, Huthaifa I; Elhenawy, Mohammed; Hussain, Qinaat; Alhajyaseen, Wael; Rakha, Hesham; Stohy, Ahmed... more authors ... less authors ( Elsevier Ltd , 2023 , Article)The fuel consumption of vehicles depends on various factors including vehicle design, driving style, traffic management, and road design. Many manufacturers have been developing efficient and smart vehicles, which contributes ... -
A Simulated Annealing for Optimizing Assignment of E-Scooters to Freelance Chargers
Masoud, Mahmoud; Elhenawy, Mohammed; Liu, Shi Qiang; Almannaa, Mohammed; Glaser, Sebastien; Alhajyaseen, Wael... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)First- and last-mile trips are becoming increasingly expensive and detrimental to the environment, especially within dense cities. Thus, new micro-mobility transportation modes such as e-scooter sharing systems have been ...