Short Term Forecast

SPEEDD

SPEEDD developed a prototype for proactive event-driven decision-making: decisions were triggered by forecasting events-whether they correspond to problems or opportunities-instead of reacting to them once they happen.

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 strive to update or expand aging infrastructure, the application of big data, new models and analytics to better …

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. Definitions, computational details and properties in the construction of DTT are provided. DTT is dynamically …

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 times for multiple origin-destination (OD) pairs. A network model is then proposed to infer travel time between origin …

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 for multiple origin-destination (OD) pairs. A network model is then proposed to infer travel time between origin …