City size, network structure and traffic congestion

Network Structure and City Size

Network structure varies across cities. This variation may yield important knowledge about how the internal structure of the city affects its performance. This paper systematically compares a set of surface transportation network structure variables (connectivity, hierarchy, circuity, treeness, entropy, accessibility) across the 50 largest metropolitan areas in the United States. A set of scali...

A Dynamic Space-Time Network Flow Model for City Traffic Congestion

A space-time network is used to model traffic flows over time for a capacitated road transportation system having one-way and two-way streets. Also, for the first time, traffic signal lights which change the network structure are explicitly incorporated into the model. A linear (time) cost per unit flow is associated with each arc, and it is shown that under the model structure, travel time on ...

Network Congestion Control - Managing Internet Traffic

Analyzing the Cascading Structure of Traffic Congestion in New York City Taxi Networks

In this paper, we use New York City taxi trip data from 2013 and attempt to predict congestion at specific locations in the city at a given time. This paper contains the following three contributions: 1) A method for organizing origin-destination trip data and representing it as a graph; 2) Metrics that that represent congestion at a given location, including whether that location causes (injec...

Co-evolutionary Agent Self-Organization for City Traffic Congestion Modeling

This paper introduces a model based on a multi-agent system that learns using the extended classifier system (MAXCS). The agents are informed in the news, after the weather forecast, the congestion levels of the main city avenues and they decide which avenue to use the following day. The results are encouraging, as the agents, both homogeneous and heterogeneous adapt to the congestion threshold...