A5058452812- Transportation Planning and Optimization
- Traffic control and management
- Complex Network Analysis Techniques
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- COVID-19 epidemiological studies
- SARS-CoV-2 and COVID-19 Research
- Traffic Prediction and Management Techniques
- Evacuation and Crowd Dynamics
- Mathematical and Theoretical Epidemiology and Ecology Models
- Opinion Dynamics and Social Influence
- Network Traffic and Congestion Control
- Energy Load and Power Forecasting
- Traffic and Road Safety
- Image and Signal Denoising Methods
- Smart Grid Energy Management
- Vaccine Coverage and Hesitancy
- Electric Vehicles and Infrastructure
- Wildlife-Road Interactions and Conservation
- Metaheuristic Optimization Algorithms Research
- Transportation and Mobility Innovations
- Energy, Environment, and Transportation Policies
Imperial College London
2024
Dyson (United Kingdom)
2024
MIT University
2022
RMIT University
2022
Monash University
2017-2021
Abstract Whether it be the passengers’ mobility demand in transportation systems, or consumers’ energy power grids, primary purpose of many infrastructure networks is to best serve this flow demand. In reality, volume fluctuates unevenly across complex while simultaneously being hindered by some form congestion overload. Nevertheless, there little known about how heterogeneity influences network dynamics under congestion. To explore this, we introduce a percolation-based analysis framework...
Abstract A fully separated bicycle network from vehicular traffic is not realistic even for the most bicycle-friendly cities. Thus, all around world urban cycling entails switching between streets of different safety, convenience, and comfort levels. As a consequence, quality networks should be evaluated based on one but multiple factors by considering user preferences regarding these factors. More comprehensive methodologies to assess are essential operation planning modern city...
The original social force model of pedestrians and its variants have been extensively studied in the past. However, little attention has given to their parameter estimation validation specifically for environments with high density complex phenomena such as self-organization lane formation. This paper presents a macroscopic framework calibration modified bidirectional pedestrian streams based on concept area-wide fundamental diagram, also known Macroscopic Fundamental Diagram (p-MFD)....
Previous theoretical and data-driven studies on urban mobility uncovered the repeating patterns in individual collective human behavior. This paper analyzes travel demand characteristics of networks through studying a coarse-grained representation trips. Building idea reducing complexity network, we investigate preserved spatial temporal information simplified representations large-scale origin-destination matrices derived from more than 16 million taxi trip records New York Chicago. We...
Abstract The spread of traffic jams in urban networks has long been viewed as a complex spatio-temporal phenomenon that often requires computationally intensive microscopic models for analysis purposes. In this study, we present framework to describe the dynamics congestion propagation and dissipation cities using simple contagion process, inspired by those used model infectious disease population. We introduce two macroscopic characteristics network dynamics, namely rate β μ . these new...
Iran has been the hardest hit country by outbreak of SARS-CoV-2 in Middle East. With a relatively high case fatality ratio and limited testing capacity, number confirmed cases reported is suspected to suffer from significant under-reporting. Therefore, understanding transmission dynamics COVID-19 assessing effectiveness interventions that have taken place while accounting for uncertain level underreporting critical importance. In this paper, we developed compartmental model estimate...
With recent developments in vehicle and battery technologies, electric vehicles (EVs) are rapidly getting established as a sustainable alternative to traditional fossil-fuel vehicles. This has made the large-scale electrification of ride-sourcing operations practical viability, providing an opportunity for leap toward urban sustainability goals. Despite having similar driving range vehicles, EVs disadvantaged by their long charging times which compromises total fleet service time. To...
Vaccination campaigns have both direct and indirect effects that act to control an infectious disease as it spreads through a population. Indirect arise when vaccinated individuals block transmission in any infection chain they are part of, this turn can benefit unvaccinated individuals. difficult quantify practice but, article, working with the susceptible–infected–recovered (SIR) model, analytically calculated important cases, pivoting on final size formula for epidemics. Their...
Accurate prediction of long-term electricity demand has a significant role in side management and network planning operation. Demand over-estimation results over-investment assets, driving up the prices, while under-estimation may lead to under-investment resulting unreliable insecure electricity. In this manuscript, we apply deep neural networks predict Australia's demand. A stacked autoencoder is used combination with multilayer perceptrons or cascade-forward nation-wide consumption rates...
Population-based metaheuristic optimization techniques have numerous applications in science and engineering. In this paper, we introduce a novel population-based binary method, built upon consensus formation interacting multi-agent systems. Agents, each associated with an opinion vector, are linked together through network structure. The agents influence other by performing interactions, as result their opinions evolve. Opinion vectors hold solutions to the problem, at same time, store...
Despite the growing availability of big mobility data in cities, methodologies to extract meaningful information from them are still scarce. In this paper, we investigate taxi trips New York City, develop a large-scale weighted and directed network, apply macroscopic methodology spatial-temporal structure urban mobility. We also present new approach study networks which links network have journey speed or travel time attribute addition commonly used link weights representing number between...
SUMMARY Background Iran has been the hardest hit country by outbreak of SARS-CoV-2 in Middle East with 74,877 confirmed cases and 4,683 deaths as 15 April 2020. With a relatively high case fatality ratio limited testing capacity, number reported is suspected to suffer from significant under-reporting. Therefore, understanding transmission dynamics COVID-19 assessing effectiveness interventions that have taken place while accounting for uncertain level underreporting critical importance. We...
Perimeter control regulates the traffic flows between regions of a transport network by coordinating signal timings on their boundaries with aim improving overall performance. The method is proved to be effective in optimizing urban road and crucial component modern intelligent transportation systems. A possible drawback restricting incoming region susceptibility formation congested queues outside perimeter. In this work, we tackle problem at dynamic perimeter where geometry boundary evolves...