Autonomous conflict resolution for high-density urban operations using deep reinforcement learning

Low-altitude, high-density air traffic is expected to grow in the coming decades with several companies being certified to initiate urban operations for both freight and passenger transport. However, traditional human-centered Air Traffic Control operations (ATCos) are not scalable to handle the increased demand to maintain safe separation...

The effectiveness of alternative graph-based rail traffic rescheduling models versus infrastructure layouts and traffic patterns

The impact of delays and disturbances in railway traffic can be mitigated by advanced rail traffic rescheduling models (RTRMs) which make use of mathematical optimization models. In the past several researches have been carried out on the effectiveness of an RTRM in reducing delay and improving punctuality. However, in most of these researches...

Multi machine approaches for conflict resolution under moving block signalling

Railway networks are to play an increasingly large role in European transportation. This has boosted the urgency of railway innovations, of which the development of decision support systems for conflict resolution is an important aspect. This research contributes to this development by formulating a suitable mathematical approach for railway...

An Analysis of the Factors Influencing the Capacity of Constrained Urban Airspace

The traffic density of small aerial vehicles operating within urban environments is expected to increase significantly in the near future. This urban environment is highly constrained due to being limited to the low-altitude airspace directly above the existing road network. To increase understanding of the factors influencing the capacity of...

A Decentralized Recovery Method for Air Traffic Conflicts

In an effort to increase airspace capacity, new methods for the decentralization of air traffic control have been a topic for research since the early nineties. The Modified Voltage Potential is a method to provide decentralized conflict detection and resolution. Through this method, aircraft can fly direct routes while resolving conflicts in a...

Coordination in Multi-Actor Self-Separation in Complex Airspace Environments: A human-in-the-loop experiment using the Solution Space Diagram

The Air Traffic Management research community expects that the responsibility of maintaining a minimum safe separation distance between aircraft will move from the groundbased Air Traffic Control, a centralized system, towards the flight deck, a decentralized system. Previous research on the decentralized, also known as distributed Air Traffic...

Multi-aircraft Conflict Resolution using Velocity Obstacles

Currently, Air Traffic Control is responsible for the separation of air traffic in our limited airspace. To facilitate the continuing growth of air traffic, an ambitious plan is to give the responsibility of the separation task to the pilots of the aircraft. The behavior of existing conflict resolution methods within this decentralized approach...

Managing conflicts in water resources allocation: A sustainable water allocation for Urumia Lake Basin in Iran

Using the Urumia lake water allocation problem as a case study, a conflict analysis method was applied to look for possibilities to resolve the problem of conflicting demands for water. First a thorough overview of the problem was made by describing the Urumia lake basin and the human activities therein as a Large Technical System. After the...