Mohammed Almannaa
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View article: Temporal Shifts in E-Scooter Rider Perspectives: A Longitudinal Investigation in Riyadh, Saudi Arabia
Temporal Shifts in E-Scooter Rider Perspectives: A Longitudinal Investigation in Riyadh, Saudi Arabia Open
Shared electric scooters (e-scooters) have rapidly gained prominence as a first/last-mile mobility solution globally, with over 66,000 systems operating in 88 cities across 21 countries in 2019. While recognized for their flexibility, acce…
View article: Factors influencing bikeshare service and usage in a rural college town: A case study of Montgomery County, VA
Factors influencing bikeshare service and usage in a rural college town: A case study of Montgomery County, VA Open
While much of the bikeshare boom has centered around larger cities, smaller, lower-density, and even some rural communities have also implemented bikeshare systems successfully. Using a bikeshare dataset of more than 14,000 trips that cove…
View article: Crash Severity Predictive Models Using Machine Learning Algorithms: a Case Study of Riyadh, Saudi Arabia
Crash Severity Predictive Models Using Machine Learning Algorithms: a Case Study of Riyadh, Saudi Arabia Open
Machine learning models have shown high prediction accuracy as a result of their freedom from the limitations of data distribution assumptions in classical statistical methods, non-compliance with which leads to incorrect and inaccurate re…
View article: A Simulated Annealing for Optimizing Assignment of E-Scooters to Freelance Chargers
A Simulated Annealing for Optimizing Assignment of E-Scooters to Freelance Chargers Open
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 introduced to fill…
View article: In-Depth Evaluation of Association between Crash and Hand Arthritis via Naturalistic Driving Study
In-Depth Evaluation of Association between Crash and Hand Arthritis via Naturalistic Driving Study Open
Severe arthritis can limit a driver’s range of motion and increase their crash risk. The high prevalence of arthritis among the US driver population, especially among senior drivers, makes it a public safety concern. In this study, we eval…
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: Network and station-level bike-sharing system prediction: a San Francisco bay area case study
Network and station-level bike-sharing system prediction: a San Francisco bay area case study Open
The paper develops models for modeling the availability of bikes in the San Francisco Bay Area Bike Share System applying machine learning at two levels: network and station. Investigating BSSs at the station-level is the full problem that…
View article: A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems
A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems Open
Substantial research is required to ensure that micro-mobility ride sharing provides a better fulfilment of user needs. This study proposes a novel crowdsourcing model for the ride-sharing system where light vehicles such as scooters and b…
View article: A Novel Crowdsourcing Model for Micro-mobility Ride-sharing Systems
A Novel Crowdsourcing Model for Micro-mobility Ride-sharing Systems Open
Substantial research is required to ensure that micro-mobility ride sharing provides a better fulfillment of user needs. This study proposes a novel crowdsourcing model for the ride-sharing system where light vehicles such as scooters and …
View article: A comparative analysis of e-scooter and e-bike usage patterns: Findings from the City of Austin, TX
A comparative analysis of e-scooter and e-bike usage patterns: Findings from the City of Austin, TX Open
E-scooter-sharing and e-bike-sharing systems are accommodating and easing the increased traffic in dense cities and are expanding considerably. However, these new micro-mobility transportation modes raise numerous operational and safety co…
View article: Deep Transfer Learning for Vulnerable Road Users Detection using Smartphone Sensors Data
Deep Transfer Learning for Vulnerable Road Users Detection using Smartphone Sensors Data Open
As the Autonomous Vehicle (AV) industry is rapidly advancing, the classification of non-motorized (vulnerable) road users (VRUs) becomes essential to ensure their safety and to smooth operation of road applications. The typical practice of…
View article: Vulnerable Road Users Classification of Smartphone Sensors Data Using Deep Transfer Learning
Vulnerable Road Users Classification of Smartphone Sensors Data Using Deep Transfer Learning Open
As the Autonomous Vehicle (AV) industry is rapidly advancing, classification of non-motorized (vulnerable) road users (VRUs) becomes essential to ensure their safety and to smooth operation of road applications. The typical practice of non…
View article: Network and Station-Level Bike-Sharing System Prediction: A San\n Francisco Bay Area Case Study
Network and Station-Level Bike-Sharing System Prediction: A San\n Francisco Bay Area Case Study Open
The paper develops models for modeling the availability of bikes in the San\nFrancisco Bay Area Bike Share System applying machine learning at two levels:\nnetwork and station. Investigating BSSs at the station-level is the full\nproblem t…
View article: Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results
Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results Open
Micro-mobility ride-sharing is an emerging technology that provides access to the transit system with minimum environmental impacts. Significant research is required to ensure that micro-mobility ride-sharing provides a better fulfilment o…
View article: Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results
Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results Open
Micro-mobility ride-sharing is an emerging technology that provides access to the transit system with minimum environmental impacts. Significant research is required to ensure that micro-mobility ride-sharing provides a better fulfilment o…
View article: A Comparative Analysis of E-Scooter and E-Bike Usage Patterns: Findings\n from the City of Austin, TX
A Comparative Analysis of E-Scooter and E-Bike Usage Patterns: Findings\n from the City of Austin, TX Open
E-scooter-sharing and e-bike-sharing systems are accommodating and easing the\nincreased traffic in dense cities and are expanding considerably. However,\nthese new micro-mobility transportation modes raise numerous operational and\nsafety…
View article: Optimizing Bike Sharing Systems: Dynamic Prediction Using Machine Learning and Statistical Techniques and Rebalancing
Optimizing Bike Sharing Systems: Dynamic Prediction Using Machine Learning and Statistical Techniques and Rebalancing Open
The large increase in on-road vehicles over the years has resulted in cities facing challenges in providing high-quality transportation services. Traffic jams are a clear sign that cities are overwhelmed, and that current transportation ne…
View article: Identifying Optimum Bike Station Initial Conditions using Markov Chain Modeling
Identifying Optimum Bike Station Initial Conditions using Markov Chain Modeling Open
Bike sharing systems (BSSs) are being deployed in many cities because of their environmental, social, and health benefits. To maintain low rental costs, rebalancing costs must be kept minimal. In this paper, we use BSS data collected from …
View article: Heuristic Approaches to Solve E-Scooter Assignment Problem
Heuristic Approaches to Solve E-Scooter Assignment Problem Open
Nowadays, rapid urbanization causes a wide-range of congestion and pollution in megacities worldwide, which bears an urgent need for micromobility solutions such as electric scooters (e-scooter). Many e-scooter firms use freelancers to cha…
View article: Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains
Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains Open
This paper develops a novel two-layer hierarchical classifier that increases\nthe accuracy of traditional transportation mode classification algorithms. This\npaper also enhances classification accuracy by extracting new frequency domain\n…
View article: Field Testing of Eco-Speed Control Using V2I Communication
Field Testing of Eco-Speed Control Using V2I Communication Open
This research focused on the development of an Eco-Cooperative Adaptive Cruise Control (Eco-CACC) System and addressed the implementation issues associated with applying it in the field. The Eco-CACC system computes and recommends a fuel-e…
View article: Field Evaluation of Eco-Cooperative Adaptive Cruise Control in The Vicinity of Signalized Intersections
Field Evaluation of Eco-Cooperative Adaptive Cruise Control in The Vicinity of Signalized Intersections Open
Traffic signals are used at intersections to manage the flow of vehicles by allocating right-of-way in a timely manner for different users of the intersection. Traffic signals are therefore installed at an intersection to improve overall s…
View article: Development and Preliminary Field Testing of an In-Vehicle Eco-Speed Control System in the Vicinity of Signalized Intersections
Development and Preliminary Field Testing of an In-Vehicle Eco-Speed Control System in the Vicinity of Signalized Intersections Open
This paper develops and addresses the implementation issues associated with the field application of an Eco-Speed Control (ESC) system that computes and recommends a fuel-efficient trajectory to drivers using signal timing and phasing data…