00727276

Monograph

https://rosap.ntl.bts.gov/view/dot/2397

https://rosap.ntl.bts.gov/view/dot/39342

The purpose of this Innovations Deserving Exploratory Analysis (IDEA) project was to develop technology for robust traffic monitoring and automated vehicle control using decision theory and probability. It is shown that high-level traffic monitoring situations can be modeled using modern techniques, and that solving such models in real time is computationally feasible. Specifically, the focus is on models supporting the task of "plan recognition in highway environments". These models are used to infer the intended behavior of vehicles in traffic based on movement patterns and highway tactics (e.g., lane changes). The models have been developed and encoded using off-the-shelf software, in particular the Hugin (Trademark) system. Using existing algorithms and some enhancements developed as part of this project, all of the models can be solved without prohibitive computational resources. For example, real-time performance is easily achievable using hardware based on Pentium-class processors. This capability is demonstrated using Hugin (Trademark) in a standalone setup as well as in a driving simulator integrated with the SmartPATH animation system for real-time visualization of traffic scenarios.

This ITS-IDEA project was conducted jointly by the University of Michigan and the University of California, Berkeley.

ITS-9

English

21 p.

1995-10-2

ITS-IDEA Program Project Final Report

Digital/other

Figures (6) ; References (5)

Advanced vehicle control systems; Algorithms; Decision theory; Intelligent transportation systems; Monitoring; Probability; Real time control; Real time data processing; Software; Technological innovations; Traffic surveillance

Hardware; Probabilistic analysis

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning

NTL, TRIS, TRB

Oct 15 1996 12:00AM