Conference Papers

12th World Congress on ITS
San Francisco, November 2005

This paper describes the development of neural network models for Automatic Incident Detection (AID) on arterials, using simulated data derived from Inductive Loop Detectors (ILDs) and probe vehicles. This study extends previous research by comparing the performance of various neural network architectures for data fusion and by providing a comparison of model performance for various probe vehicle penetration rates and detector configurations. Data from 108 incidents was collected from ILDs and probe vehicles at two locations on a previously validated network for two detector configurations. Configuration 1 was similar to a freeway link, while configuration 2 conformed to the standard configuration on road networks. The best performance obtained for Configuration 1 was a Detection Rate (DR) of 59% for a False Alarm Rate (FAR) of 0.5%, for a probe vehicle penetration rate of 20%. The best performance obtained for Configuration 2 was a DR of 86% for a FAR of 0.36% for a probe vehicle penetration rate of 20%. Satisfactory performance can also be obtained using ILD data alone (DR = 86% for FAR = 0.41%). Inclusion of speed data further improves performance (DR = 90% for FAR = 0.5%) and its use when available is highly recommended. This research demonstrates the feasibility of developing a neural network model for detection of incidents on arterials using loop and probe vehicle data. Options for further study are also presented.

12th World Congress on ITS
San Francisco, November 2005

This paper compares interoperable and integrated system architectures for significant applications within an organisation. These architectural styles are defined and then compared using the following criteria: computing resource requirements, configuration data management, interface management, systems testing and user interfaces. The architectural styles used in other more mature disciplines are then reviewed. The best of breed advantage of interoperable architectures is discussed and the STREAMS integrated intelligent transport system architecture that incorporates this capability is described. The paper concludes that an integrated system architecture results in lower costs, better performance and lower risks than a comparable set of interoperable systems for significant applications within an organisation.