Demand and Capacity Balancing Through Probabilistic Queuing Theory and Ground Holding Program for European Air Transportation Network

Radiation exposure during air and ground transportation.

Probabilistic Routing Using Queuing Theory for Manets

Mobile ad-hoc networks pose real difficulty in finding the multihop shortest paths because of continuous changing positions of the nodes. Traditional ad-hoc routing protocols are proposed to find multi-hop routes based on shortest path routing algorithms, which cannot effectively adapt to time-varying radio links and network topologies of Ad-hoc networks. In this paper we proposed an enhanced r...

PROBABILISTIC ROUTING USING QUEUING THEORY FOR MANETs

Mobile ad-hoc networks pose real difficulty in finding the multihop shortest paths because of continuous changing positions of the nodes. Traditional ad-hoc routing protocols are proposed to find multi-hop routes based on shortest path routing algorithms, which cannot effectively adapt to time-varying radio links and network topologies of Ad-hoc networks. In this paper we proposed an enhanced r...

Ground holding strategies for air traffic control under uncertainty

As air traffic congestion grows, ground-holding (or "gate-holding") of aircraft is becoming increasingly common. Ground-holding is the practice of delaying the departure of a flight due to anticipated congestion at the airport of destination, because it is both less expensive and safer, for aircraft to wait on the ground, prior to take-off, than in the air. The problem of developing strategies ...

A passenger demand model for air transportation in a hub-and-spoke network

This paper develops an air passenger model that deals with city-pair demand generation and demand assignment in a single framework. Using publicly available and regularly collected panel data, the model captures both time series and cross-sectional variation of air travel demand. The empirical analysis finds that pattern of correlations among alternatives can be described by a three-level neste...