8,212 research outputs found
Origin of Critical Behavior in Ethernet Traffic
We perform a simplified Ethernet traffic simulation in order to clarify the
physical mechanism of the phase transition behavior which has been
experimentally observed in the flow density fluctuation of Internet traffic. In
one phase traffics from nodes connected with an Ethernet cable are mixed, and
in the other phase, the nodes alternately send bursts of packets. The
competition of sending packets among nodes and the binary exponential back-off
algorithm are revealed to play important roles in producing fluctuations
at the critical point.Comment: 14 pages, 9 figures. To appear physica
Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective
In this paper we present and analyze a queueing-theoretical model for
autonomous mobility-on-demand (MOD) systems where robotic, self-driving
vehicles transport customers within an urban environment and rebalance
themselves to ensure acceptable quality of service throughout the entire
network. We cast an autonomous MOD system within a closed Jackson network model
with passenger loss. It is shown that an optimal rebalancing algorithm
minimizing the number of (autonomously) rebalancing vehicles and keeping
vehicles availabilities balanced throughout the network can be found by solving
a linear program. The theoretical insights are used to design a robust,
real-time rebalancing algorithm, which is applied to a case study of New York
City. The case study shows that the current taxi demand in Manhattan can be met
with about 8,000 robotic vehicles (roughly 60% of the size of the current taxi
fleet). Finally, we extend our queueing-theoretical setup to include congestion
effects, and we study the impact of autonomously rebalancing vehicles on
overall congestion. Collectively, this paper provides a rigorous approach to
the problem of system-wide coordination of autonomously driving vehicles, and
provides one of the first characterizations of the sustainability benefits of
robotic transportation networks.Comment: 10 pages, To appear at RSS 201
Scaling behavior of an artificial traffic model on scale-free networks
In this article, we investigate an artificial traffic model on scale-free
networks. Instead of using the routing strategy of the shortest path, a
generalized routing algorithm is introduced to improve the transportation
throughput, which is measured by the value of the critical point disjoining the
free-flow phase and the congested phase. By using the detrended fluctuation
analysis, we found that the traffic rate fluctuation near the critical point
exhibits the -type scaling in the power spectrum. The simulation results
agree very well with the empirical data, thus the present model may contribute
to the understanding of the underlying mechanism of network traffics.Comment: 6 pages, 5 figure
A Review of Traffic Signal Control.
The aim of this paper is to provide a starting point for the future research within the SERC sponsored project "Gating and Traffic Control: The Application of State Space Control Theory". It will provide an introduction to State Space Control Theory, State Space applications in transportation in general, an in-depth review of congestion control (specifically traffic signal control in congested situations), a review of theoretical works, a review of existing systems and will conclude with recommendations for the research to be undertaken within this project
Data-driven modeling of systemic delay propagation under severe meteorological conditions
The upsetting consequences of weather conditions are well known to any person
involved in air transportation. Still the quantification of how these
disturbances affect delay propagation and the effectiveness of managers and
pilots interventions to prevent possible large-scale system failures needs
further attention. In this work, we employ an agent-based data-driven model
developed using real flight performance registers for the entire US airport
network and focus on the events occurring on October 27 2010 in the United
States. A major storm complex that was later called the 2010 Superstorm took
place that day. Our model correctly reproduces the evolution of the
delay-spreading dynamics. By considering different intervention measures, we
can even improve the model predictions getting closer to the real delay data.
Our model can thus be of help to managers as a tool to assess different
intervention measures in order to diminish the impact of disruptive conditions
in the air transport system.Comment: 9 pages, 5 figures. Tenth USA/Europe Air Traffic Management Research
and Development Seminar (ATM2013
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