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LUNT AND WILSON: NEW DATA SETS AND HIGHWAY TRAFFIC MODELS New Data Sets and Improved Models of Highway Traffic

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Abstract

In this paper we report progress on the use of novel data sets to calibrate and improve car-following models of highway traffic. These models describe vehicles as discrete entities moving in continuous time and space, and use plausible behavioural assumptions to derive systems of differential equations which must be solved for vehicles ’ trajectories. To date, there has been little or no systematic attempt to fit these models to quantative microscopic (at the level of individual vehicles) highway data. Our recent work has involved the analysis of two such data sets: • MIDAS (Motorway Incident Detection and Automatic Signalling) IVD (Individual Vehicle Data)

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.198.1784
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