Bayesian inference and Dempster‒Shafer evidential reasoning

What is it about?

This is only one chapter in the book ITS Sensors and Architectures for Traffic Management and Connected Vehicles, Klein, L.A., Taylor and Francis, Boca Raton, FL (2018), ISBN 9781138747371. Bayesian inference and Dempster‒Shafer evidential reasoning are widely applied for detection, classification, and identification of objects and events that occur in conjunction with traffic management strategies. The applications include travel time estimation, automatic incident detection, and decision support. This chapter describes the underlying principles of these techniques followed by several examples that illustrate their effectiveness for traffic management.

Featured Image