Browsing Traffic Safety by Author "Kharbeche, Mohamed"
Now showing items 1-10 of 10
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ANN-Based traffic volume prediction models in response to COVID-19 imposed measures
Mohammad Shareef, Ghanim; Muley, Deepti; Kharbeche, Mohamed ( Elsevier , 2022 , Article)Many countries around the globe have imposed several response measures to suppress the rapid spread of the COVID-19 pandemic since the beginning of 2020. These measures have impacted routine daily activities, along with ... -
Are Professional Drivers more Aggressive than General Drivers? A Case Study from Doha, Qatar
Dias, Charitha; Kharbeche, Mohamed; Muley, Deepti; Kashem, Abdurahman; AbulFahed, Mohammed; Iral, Sam Verniel; Abdelfattahb, Nooreldeen... more authors ... less authors ( Elsevier B.V. , 2022 , Conference Paper)Previous studies have revealed that aggressive and reckless driving can largely affect the occurrence and severity of road crashes. There could be intentional aggressive and unsafe acts, which could significantly affect ... -
Blockchain for the internet of vehicles: A decentralized IoT solution for vehicles communication using ethereum
Jabbar, Rateb; Kharbeche, Mohamed; Al-Khalifa, Khalifa; Krichen, Moez; Barkaoui, And Kamel ( MDPI AG , 2020 , Article)The concept of smart cities has become prominent in modern metropolises due to the emergence of embedded and connected smart devices, systems, and technologies. They have enabled the connection of every “thing” to the ... -
Data-Driven Optimization for Dynamic Shortest Path Problem Considering Traffic Safety
Jiang, Shan; Zhang, Yilun; Liu, Ran; Jafari, Mohsen; Kharbeche, Mohamed ( IEEE , 2022 , Article)Traffic congestion is an inescapable problem that frustrates drivers in megacities. Although there is hardly a way to eliminate the congestion, it is possible to mitigate the impact through predictive methods. This paper ... -
Enhancing Pedestrian Safety through the Development of Advanced Operational Strategies for Crosswalks in Residential Areas
Hussain, Qinaat; Alhajyaseen, Wael; Kharbeche, Mohamed ( Qatar University Press , 2021 , Poster)Pedestrians are the most vulnerable group in the traffic. Every year approximately 40,000 pedestrians are killed in the world due to road traffic crashes. In the state of Qatar, the situations are even worse with around ... -
Impact of COVID-19 Pandemic on Qatar Electricity Demand and Load Forecasting: Preparedness of Distribution Networks for Emerging Situations
El-Hafez, Omar Jouma; ElMekkawy, Tarek Y.; Kharbeche, Mohamed; Massoud, Ahmed ( MDPI , 2022 , Article)The COVID-19 pandemic has brought several global challenges, one of which is meeting the electricity demand. Millions of people are confined to their homes, in each of which a reliable electricity supply is needed, to ... -
Safe Route Mapping of Roadways Using Multiple Sourced Data
Jiang, Shan; Jafari, Mohsen; Kharbeche, Mohamed; Jalayer, Mohammad; Al-Khalifa, Khalifa N. ( Institute of Electrical and Electronics Engineers , 2022 , Article)The use of systematic techniques with historical crash data and qualitative measures has long been a common practice to identify the problematic road features and develop countermeasures to mitigate the crash risk in ... -
Safer pedestrian crossing facilities on low-speed roads: Comparison of innovative treatments
Qinaat, Hussain; Alhajyaseen, Wael K.M.; Kharbeche, Mohamed; Almallah, Mustafa ( Elsevier , 2022 , Article)Despite the international efforts to improve pedestrian safety in different regions of the world, pedestrian fatalities still account for around one-third of annual road traffic deaths. Residential areas are commonly ... -
Safety and Operational Performance of Signalized Roundabouts: A Case Study in Doha
Ghanim, Mohammad; Kharbeche, Mohamed; Hannun, Jamal; Hannun, Jameel; Shamiyeh, Khaled ( Elsevier B.V. , 2020 , Conference Paper)Traffic safety is one of the important challenges that urban transportation systems are facing. The common practice of assessing the safety of transportation systems starts with the collection of readily available crash ... -
Throughput optimization for the Robotic Cell Problem with Controllable Processing Times
Al-Salem, Mohammed; Kharbeche, Mohamed ( EDP Sciences , 2017 , Article)In this paper, we present a MIP-based heuristic and an effective genetic algorithm for the Robotic Cell Problem with Controllable Processing Times (RCPCPT). This problem arises in modern automated manufacturing systems and ...