Predicting Lane-by-Lane Flows and Speeds for Freeway Segments

Autor: Luan Guilherme Staichak Carvalho, Fabio Sasahara, Zachary Jerome, Tanay Datta Chowdhury, Lily Elefteriadou, Alexander Skabardonis
Rok vydání: 2020
Předmět:
Zdroj: Transportation Research Record: Journal of the Transportation Research Board. 2674:1052-1068
ISSN: 2169-4052
0361-1981
Popis: The Highway Capacity Manual is a major reference for evaluating the capacity and quality of service of road facilities. However, it holds the assumption that lanes perform equally, which can result in inaccuracies in performance estimation. The main purpose of this research is to develop a series of models for estimating flows and speeds by lane for various types of freeway segments, including basic, merge, and diverge types. These models consider the demand-to-capacity ratio, the presence of trucks, grade, and the presence of upstream and downstream ramps. To predict lane performance effectively, it is critical that capacity and free-flow speeds are also determined for individual lanes. Therefore, this study also investigates the relationship between segment average values and lane values for free-flow speeds and capacities, and proposes a method to estimate these parameters for each lane as a function of the segment average. Observed field data has shown that free-flow speeds and capacities have lowest values on the shoulder lanes and highest values on the median lanes. Speed and flow data were collected from 48 segments throughout the U.S.A., including basic, merge, and diverge segments, to develop flow and speed distribution models. A case example is provided to illustrate the application of the developed model and the predicted speed–flow relationship is compared with field data, with satisfactory results.
Databáze: OpenAIRE
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