Browsing by Author "Muley, Deepti"
Now showing items 1-16 of 16
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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 ... -
Application of Vehicle Restraint Systems (VRSs) in the State of Qatar: A Case Study from Northern Roads
Muley, Deepti; Tahmasseby, Shahram; Wink, Bernd Wolfgang; Tarlochan, Faris ( Qatar Univesrity Press , 2020 , Conference Paper)Recent developments within Infrastructural Road Safety and especially in the Sector of Vehicle Restraint Systems (VRS) have enabled Transport Authorities to significantly reduce road fatalities and severe injuries. ... -
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 ... -
Assessment of School Bus Assistant’s Safety Perspective in the State of Qatar
Salwa, Salam; Muley, Deepti; Kharbeche, Mohamed ( Elsevier B.V. , 2022 , Conference Paper)School Bus Assistants (SBA) are appointed to bridge the communication gap between students and drivers, and to ensure the safety of students on the school buses. The purpose of this study is to assess the safety procedures ... -
Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
Alkhereibi, Aya Hasan; Tahmasseby, Shahram; Mohammed, Semira; Muley, Deepti ( Elsevier , 2021 , Article)This paper proposes a pattern recognition model to develop clusters of homogenous activities for blue-collar workers in the State of Qatar. The activity-based data from the travel diary of 1051 blue-collar workers collected ... -
COVID-19 Preventive Measures Impact on Traffic Demand & Safety
Mohammad, Anas Ahmad; Muley, Deepti; Ghanim, Mohammad Shareef; Kharbeche, Mohamed Bin Mokhtar ( Qatar University Press , 2020 , Poster)COVID-19 has affected the mobility of people significantly due to movement restrictions imposed by government authorities to control the spread of the pandemic. The staged movement restrictions that have been implemented ... -
Effect of Pedestrian Penalty on Pedestrian Behavior in Qatar
Ghonim, Omar Khaled; Muley, Deepti; Kharbeche, Mohamed; Mohamed, Yousef; Madkoor, Ahmed ( Qatar University Press , 2021 , Poster)Crashes involving pedestrians are a major concern for authorities in many developed and developing countries. To refrain pedestrians from illegal or unsafe road behavior, authorities introduced three pedestrian penalties ... -
Effect of U-turns and heavy vehicles on the saturation flow rates of left-turn lanes at signalized intersections
Abuhijleh, Abdelrahman; Dias, Charitha; Alhajyaseen, Wael; Muley, Deepti ( MDPI , 2020 , Article)© 2020 by the authors. The Saturation Flow Rate (SFR) is a primary measure that can be used when estimating intersection capacity. Further, the efficiency of signal control parameters also depends on the accuracy of assumed ... -
Exploring the impacts of COVID-19 on travel behavior and mode preferences
Abdullah, Muhammad; Dias, Charitha; Muley, Deepti; Shahin, Md. ( ElsevierLtd. , 2020 , Article)Various measures were recommended or imposed by the governments to control the spread of COVID-19. Travel behaviors are significantly influenced due to such measures. However, people have various travel needs ranging from ... -
Investigation of Weather Impacts on Pedestrian Volumes
Shaaban,Khaled; Muley, Deepti ( Elsevier B.V. , 2016 , Conference Paper)This study investigates the impacts of temporal and weather characteristics on pedestrian volumes in a hot climate condition. A major neighborhood located in an urban area in Doha, Qatar was chosen as a case study site. ... -
Machine Learning Approach to Predict Metro Ridership based on Land Use Densities
Alkhereibi, Aya Hasan; Wakjira, Tadesse; kucukvar, Murat; Qidwai, Uvais; Muley, Deepti; Siam, Abdalla... more authors ... less authors ( Qatar University Press , 2021 , Poster)Predicting metro ridership is an essential requirement for efficient metro operation and management. The dependence of metro ridership on the land use densities entails a need for an accurate predictive model. To this end, ... -
Modeling pedestrian gap acceptance behavior at a six-lane urban road
Shaaban, Khaled; Muley, Deepti; Mohammed,Abdulla ( Taylor and Francis Inc. , 2019 , Article)The illegal crossing behavior of pedestrians at unmarked mid-block sections is unsafe, risky, and increase the potential of severe conflicts and crashes, especially in the case of multilane roads. This paper investigates ... -
Performance Evaluation of Vehicle Restraint Systems in the Context of Design and Installation
Tahmasseby, Shahram; Muley, Deepti; Wink, Bernd Wolfgang (2021 , Article)Vehicle Restraint Systems (VRS), a necessary component of the road design, are widely implemented by transport authorities to protect vehicles from severe incidents, mainly colliding to the roadside as well as median ... -
Role of transport during outbreak of infectious diseases: Evidence from the past
Muley, Deepti; Shahin, Md; Dias, Charitha; Abdullah, Muhammad ( MDPI , 2020 , Article Review)The outbreak of infectious diseases affects people's lifestyles significantly, as they undertake fewer outdoor activities as a protective measure and to follow government orders of restricted movements. This paper reviewed ... -
Temporal variation in walking behavior: An empirical study
Shaaban, Khaled; Muley, Deepti; Elnashar, Dina ( Elsevier Ltd , 2017 , Article)This study provides a baseline for understanding the variation in walking behavior with respect to seasonal conditions in a hot weather country in the Arabian Gulf region. A busy neighborhood with different land-use patterns ... -
Transport impacts in Germany and State of Qatar: An assessment during the first wave of COVID-19
Birgit, Jaekel; Muley, Deepti ( Elsevier Ltd. , 2022 , Article)Response measures to contain COVID-19 spread varied from country to country, some imposed a complete lockdown while some imposed partial restrictions. This paper compares the transport impacts of the COVID-19 pandemic for ...