Print Email Facebook Twitter Fastlane: Traffic flow modeling and multi-class dynamic traffic management Title Fastlane: Traffic flow modeling and multi-class dynamic traffic management Author Schreiter, T. Van Wageningen-Kessels, F.L.M. Yuan, Y. Van Lint, J.W.C. Hoogendoorn, S.P. Faculty Civil Engineering and Geosciences Department Transport & Planning Date 2012-10-30 Abstract Dynamic Traffic Management (DTM) aims to improve traffic conditions. DTM usually consists of two steps: first the current traffic is estimated, then appropriate control actions are determined based on that estimate. In order to estimate and control the traffic, a suitable traffic flow model that reproduces the properties of traffic well must be used. One of the most important properties is that traffic is composed of multiple vehicle classes. While many traffic flow models have been proposed and applied in DTM, most of them do not capture the dynamics of multiple vehicle classes. In this paper, we propose a multi-class traffic flow model, Fastlane, that reproduces the dynamics and interactions of different vehicle classes. It is especially well-suited for short term multi-class traffic control on freeways. We show three applications of Fastlane: traffic state estimation, traffic state prediction and pro-active control. Subject traffic flowmulti-classtraffic managementstate estimationmodel-predictive control To reference this document use: http://resolver.tudelft.nl/uuid:be528909-afaf-4164-abf3-a8610661b329 Publisher TRAIL Research School Source Trail - Beta Congress 2012: Mobility and Logistics- Science Meets Practice, Rotterdam, The Netherlands, 30-31 October 2012 Part of collection Institutional Repository Document type conference paper Rights (c) 2012 The Author(s)TRAIL Research School Files PDF 289684.pdf 8.75 MB Close viewer /islandora/object/uuid:be528909-afaf-4164-abf3-a8610661b329/datastream/OBJ/view