SPEEDD

Photo by Toa Heftiba on Unsplash

Eliminating or mitigating an anticipated problem, or capitalizing on a forecast opportunity, can substantially improve our quality of life, and prevent environmental and economic damage. At the environmental level, changing traffic-light priority and speed limits to avoid traffic congestions will reduce carbon emissions, optimize transportation and increase the productivity of commuters. At the business level, making smart decisions ahead of time can become a differentiator leading to significant competitive advantage.

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Andres Ladino
Postdoctoral Researcher

My research interests include distributed control, networked control systems and machine learning.

Publications

Density and flow reconstruction in urban traffic networks using heterogeneous data sources

In this paper, we consider the problem of joint reconstruction of flow and density in a urban traffic network using heterogeneous …

Thesis - Traffic state estimation and prediction in freeways and urban networks

Centralization of work, population and economic growth alongside continued urbanization are the main causes of congestion. As cities …

A real time forecasting tool for dynamic travel time from clustered time series

This paper addresses the problem of dynamic travel time (DTT) forecasting within highway traffic networks using speed measurements. …

Travel time forecasting from clustered time series via optimal fusion strategy

This paper addresses the problem of travel time forecasting within a highway. Several measurements are cap- tured describing travel …

Talks

Travel time forecasting from clustered time series via optimal filtering fusion

This talk summarizes the problem of travel time forecasting within a highway. Several measurements are captured describing travel times …
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