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Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions Using Reinforcement Learning
The deployment of Autonomous Vehicles (AVs) poses considerable challenges and unique opportunities for the design and management of …
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Dual-branch Spatio-Temporal Graph Neural Networks for Pedestrian Trajectory Prediction
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Policy and Strategy Evaluation of Ridesharing Autonomous Vehicle Operation: A London Case Study
To understand the dynamics of an autonomous ridesharing transport mode from the perspectives of different stakeholders, a single model …
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Risk-aware Controller for Autonomous Vehicles using Model-based Collision Prediction and Reinforcement Learning
Autonomous Vehicles have the potential to save millions of lives and increase the efficiency of transportation services. However, the …
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Understanding common human driving semantics for autonomous vehicles
Autonomous vehicles will share roads with human-driven vehicles until the transition to fully autonomous transport systems is complete. …
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Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem
Same-day delivery (SDD) services have become increasingly popular in recent years. These have been usually modeled by previous studies …
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Monocular Visual Traffic Surveillance: A Review
To facilitate the monitoring and management of modern transportation systems, monocular visual traffic surveillance systems have been …
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Spatial-Temporal Flows-Adaptive Street Layout Control Using Reinforcement Learning
Complete streets scheme makes seminal contributions to securing the basic public right-of-way (ROW), improving road safety, and …
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ST CrossingPose: A Spatial-Temporal Graph Convolutional Network for Skeleton-Based Pedestrian Crossing Intention Prediction
Pedestrian crossing intention prediction is crucial for the safety of pedestrians in the context of both autonomous and conventional …
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Dynamic wireless power transfer system for electric-powered connected and autonomous vehicle on urban road network
Abstract This paper investigates the potential impacts of dynamic wireless power transfer (DWPT) systems on the urban road network with …
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On the Selection of Charging Facility Locations for EV-Based Ride-Hailing Services: A Computational Case Study
To facilitate the monitoring and management of modern transportation systems, monocular visual traffic surveillance systems have been …
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Vehicle Redistribution in Ride-Sourcing Markets Using Convex Minimum Cost Flows
Ride-sourcing platforms often face imbalances in the demand and supply of rides across areas in their operating road-networks. As such, …
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A research agenda on systems approaches to infrastructure
At a time of system shocks, significant underlying challenges are revealed in current approaches to delivering infrastructure, …
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Assignment and pricing of shared rides in ride-sourcing using combinatorial double auctions
Transportation Network Companies employ dynamic pricing methods at periods of peak travel to incentivise driver participation and …
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Design of hospital delivery networks using unmanned aerial vehicles
Unmanned Aerial Vehicles (UAVs) are being increasingly implemented in a range of applications. Their low payload capacity and ability …
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Dynamic modelling and optimisation of transportation systems in the connected era
Sensing, information, and communication technologies have become fundamental components to transportation system management in the …
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Endogenous stochastic optimisation for relief distribution assisted with Unmanned Aerial Vehicles
Unmanned Aerial Vehicles (UAVs) are being increasingly integrated into humanitarian operations given the growing economic pressure on …
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Optimal Design of Rapid Evacuation Strategies in Constrained Urban Transport Networks
Large-scale evacuations constitute common life-saving exercises that are activated in many disaster response campaigns. Their …
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Optimal Hub Selection for Rapid Medical Deliveries using Unmanned Aerial Vehicles
Unmanned Aerial Vehicles (UAVs) are being increasingly deployed in humanitarian response operations. Beyond regulations, vehicle range …
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Optimal supply chain resilience with consideration of failure propagation and repair logistics
The joint optimisation of investments in capacity and repair capability of production and logistics systems at risk of being damaged is …
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Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models
Critical infrastructure systems are becoming increasingly interdependent, which can exacerbate the impacts of disruptive events through …
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Understanding and Visualising Schedule Deviations in Construction Projects using Fault Tree Analysis
Delays in construction projects are both disruptive and expensive. Thus, potential causes of schedule deviation need to be identified …
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Urban Network-Wide Traffic Speed Estimation with Massive Ride-Sourcing GPS Traces
The ability to obtain accurate estimates of city-wide urban traffic patterns is essential for the development of effective intelligent …
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Evaluation of port disruption impacts in the global liner shipping network
The global container shipping network is vital to international trade. Current techniques for its vulnerability assessment are …
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Risk-averse supply chain for modular construction projects
The traditional in-situ construction method is currently being replaced by modular building systems, that take advantage of modern …
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Modelling the impact of liner shipping network perturbations on container cargo routing: South-east Asia to Europe application
Understanding how container routing stands to be impacted by different scenarios of liner shipping network perturbations such as …
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Optimal logistics planning for modular construction using two-stage stochastic programming
The construction sector is currently undergoing a shift from stick-built construction to modular building systems that take advantage …
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Agent-based day-to-day traffic network model with information percolation
We explore the impact of travel information sharing on road networks using a two-layer, agent-based, day-to-day traffic network model. …
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Global LNG trade: A comprehensive up to date analysis
The importance of the liquefied-natural-gas (LNG) in global gas trade has grown steadily over the past decades; the article focuses on …
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Sustainable Smart Cities: Applying Complexity Science to Achieve Urban Sustainability
The attraction of smart cities lies in the idea that increasing information and communication technology (ICT) and data-informed …
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A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of pre-cast construction
Resource scheduling of construction proposals allows project managers to assess resource requirements, provide costs and analyse …
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Calibration and validation of a shared space model: Case Study
Shared space is an innovative streetscape design that seeks minimum separation between vehicle traffic and pedestrians. Urban design is …
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Payback period for emissions abatement alternatives: Role of regulation and fuel prices
As of January 2015, the new maximum limit of fuel sulfur content for ships sailing within emission control areas has been reduced to …
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Scheduling co-operating stacking cranes with predetermined container sequences
With the proliferation of multi-gantry automated stacking cranes, the already difficult crane scheduling problem in container terminals …
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Spot sale of uncommitted LNG from Middle East: Japan or the UK?
The importance of liquefied natural gas (LNG) is rising as demand for it grows rapidly and steadily due to growth in energy demand, the …
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Strategic maritime container service design in oligopolistic markets
This paper considers the maritime container assignment problem in a market setting with two competing firms. Given a series of known, …
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Environmental Balance of Shipping Emissions Reduction Strategies
Maritime shipping is regarded as the most efficient mode of transport; however, its contribution to climate change through greenhouse …
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A strategic repositioning algorithm for bicycle-sharing schemes
The presence of enough bicycles and free docking points to satisfy user demands in stations is a known operational issue in …
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Evaluation of cold ironing and speed reduction policies to reduce ship emissions near and at ports
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A cost-based maritime container assignment model
A recently proposed frequency-based maritime container assignment model (Bell et al., 2011) seeks an assignment of full and empty …
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A frequency-based maritime container assignment model
This paper transfers the classic frequency-based transit assignment method of Spiess and Florian to containers demonstrating its …
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A review of container terminal simulation models
Simulation has been an integral part of research and development work in container terminal operations. The sheer size of the …
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An uncertainty-aware AGV assignment algorithm for automated container terminals
This paper studies job assignments for automated guided in container terminal settings under various conditions of uncertainty. An …
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Large subway systems as complex networks
Analysis of the world’s largest subway systems reveals two related classes of complex network that can be approximated by an …
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