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This paper dicusses what signal control can do for VNIS as well as what VNIS can do for signal control, with emphasis on the latter. It discusses the implications of VNIS information for signal optimization. Specifically it evaluates VNIS as a catalyst for traffic control, estimating the contribution to real-time signal optimization provided by various levels of VNIS-equipped drivers. It recommends that studies be conducted to provide quantitative estimates of the practical utility of lead time in predicting time of arrival to a signalized intersection, and of contributions provided by a VNIS system as a function of density of VNIS beacons and percent of VNIS-equipped drivers. The value of VNIS information to traffic control, in conjunction with and as a replacement for fixed-location traffic detection can aid in the design of an ultimate VNIS system, and helps to justify costs that can be related and allocated to the various benefits that VNIS provides to the traffic control element.

The INTEGRATION simulation model is being enhanced and applied at Queen's University, on behalf of General Motors Research Labs, as a tool to perform a dynamic traffic simulation study of the TravTek route guidance experiment in Orlando, Florida. While there were several different ways in which the INTEGRATION model itself was adapted, to be able to model the dynamic and route guidance features of the TravTek system, this paper focusses specifically on describing the associated dynamic modelling routines which needed to be modified and/or developed in order to generate the dynamic inputs to the INTEGRATION model.