A5074603947- Transportation Planning and Optimization
- Traffic control and management
- Crime Patterns and Interventions
- Transportation and Mobility Innovations
- Electric Vehicles and Infrastructure
- Traffic Prediction and Management Techniques
- Housing Market and Economics
- Vehicle emissions and performance
- Crime, Illicit Activities, and Governance
- Urban Transport and Accessibility
- Financial Literacy, Pension, Retirement Analysis
- 3D Modeling in Geospatial Applications
- Gambling Behavior and Treatments
- Reinforcement Learning in Robotics
- Traffic and Road Safety
- Energy Load and Power Forecasting
- Artificial Intelligence in Law
University of Leeds
2021-2024
Turing Institute
2021-2024
The Alan Turing Institute
2021-2024
British Library
2024
Research in modelling housing market dynamics using agent-based models (ABMs) has grown due to the rise of accessible individual-level data. This research involves forecasting house prices, analysing urban regeneration, and impact economic shocks. There is a trend towards machine learning (ML) algorithms enhance ABM decision-making frameworks. study investigates exogenous shocks UK integrates reinforcement (RL) adapt an ABM. Results show agents can learn real-time trends make decisions...
Roadside collisions are a significant problem faced by all countries. Urbanisation has led to an increase in traffic congestion and roadside vehicle collisions. According the UK Government’s Department for Transport, most occur on urban roads, with empirical evidence showing drivers more likely break local fixed speed limits environments. Analysis conducted Transport found that UK’s accident prevention measure’s cost is estimated be £33bn per year. Therefore, there strong motivation...
By 2020, over 100 countries expanded electric and plug-in hybrid vehicle (EV/PHEV) technologies, with global sales surpassing 7 million units. Governments are adopting cleaner technologies due to proven environmental health implications of internal combustion engine vehicles (ICEVs), evidenced by the recent COP26 meeting. This article proposes an agent-based model activity as a tool for quantifying energy consumption simulating fleet EV/PHEVs within urban street network at various...
By 2020, over 100 countries had expanded electric and plug-in hybrid vehicle (EV/PHEV) technologies, with global sales surpassing 7 million units. Governments are adopting cleaner technologies due to the proven environmental health implications of internal combustion engine vehicles (ICEVs), as evidenced by recent COP26 meeting. This article proposes an agent-based model activity a tool for quantifying energy consumption simulating fleet EV/PHEVs within urban street network at various...
Over the past 15 years, environmental criminologists have explored application of agent-based models (ABMs) crime events and various theoretical frameworks applied to understand them. Models supported criminological theorising and, in some cases, been make predictions about impact interventions devised reduce crime. However, decision-making utilised ABMs typically implemented through traditional techniques such as condition-action rules. While these provided significant insights, they...
Over the past 15 years, environmental criminologists have explored application of agent-based models (ABMs) crime events and various theoretical frameworks applied to understand them. Models supported criminological theorising and, in some cases, been make predictions about impact interventions devised reduce crime. However, decision-making utilised ABMs typically implemented through traditional techniques such as condition-action rules. While these provided significant insights, they...
Capturing and simulating intelligent adaptive behaviours within spatially explicit individual-based models remains an ongoing challenge for researchers. While ever-increasing abundance of real-world behavioural data are collected, few approaches exist that can quantify formalise key individual how they change over space time. Consequently, commonly used agent decision-making frameworks, such as event-condition-action rules, often required to focus only on a narrow range behaviours. We argue...