28 research outputs found
REAL TIME DATA MANAGEMENT FOR ESTIMATING PROBABILITIES OF INCIDENTS AND NEAR MISSES
Advances in real-time data collection, data storage and computational systems have led to development of algorithms for transport
administrators and engineers that improve traffic safety and reduce cost of road operations. Despite these advances, problems in
effectively integrating real-time data acquisition, processing, modelling and road-use strategies at complex intersections and
motorways remain. These are related to increasing system performance in identification, analysis, detection and prediction of traffic
state in real time. This research develops dynamic models to estimate the probability of road incidents, such as crashes and conflicts,
and incident-prone conditions based on real-time data. The models support integration of anticipatory information and fee-based
road use strategies in traveller information and management. Development includes macroscopic/microscopic probabilistic models,
neural networks, and vector autoregressions tested via machine vision at EU and US sites
Dynamic impacts of transport service on unemployment
Economic theories of labor supply and labor demand are modified, and a dynamic unemployment model is developed. The new model is used to analyze dynamic impacts of transportation policies on rural unemployment. Preliminary results indicate that improved transportation services can increase job availability and decrease unemployment in the service area.