Print Email Facebook Twitter Multi-lane Traffic Flow Model Title Multi-lane Traffic Flow Model: Speed Versus Density Difference as Lane Change Incentive and Effect of Lateral Flow Transfer on Traffic Flow Variables Author Nagalur Subraveti, H.H.S. (TU Delft Transport and Planning) Knoop, V.L. (TU Delft Transport and Planning) van Arem, B. (TU Delft Transport and Planning) Contributor Zuriguel, Iker (editor) Garcimartín, Angel (editor) Cruz Hidalgo, Raúl (editor) Date 2020 Abstract For better and more efficient motorway traffic control strategies on a lane level, accurate modelling and prediction of traffic conditions is essential. Existing real-time traffic state estimation methods aggregate traffic across lanes. Hence, there is a need for lane-specific traffic flow models. The majority of the existing macroscopic lane-level traffic flow models use speed difference among lanes to explain lane change decisions. One of the major disadvantages of using speed difference as motivation for lane changing is the different speeds at which the lanes on a motorway operate. These models which are usually extensions of the Cell Transmission Model (CTM) also suffer in the manner in which lateral flow is transferred among cells in different lanes. In order to overcome these limitations, a model is proposed using density difference as an incentive to compute lane change rates rather than speed. A two-step transfer of lateral flow among cell segments is also considered where the lateral demand of a cell is dependent upon the receiving capacity of the adjacent and downstream cells in the target lane. The advantages of the presented approach is shown by comparing the proposed model with a conventional model. It was observed that the proposed model performed better in terms estimating densities across lanes. The proposed model is a step in the development of more accurate lane-specific traffic flow models. Subject DensityLane changesMacroscopicSpeedTwo-step transfer To reference this document use: http://resolver.tudelft.nl/uuid:e6e39252-610d-41c8-96fc-f02f1ff04250 DOI https://doi.org/10.1007/978-3-030-55973-1_67 Publisher Springer Embargo date 2021-05-17 ISBN 9783030559724 Source Proceedings of Traffic and Granular Flow 2019 Event 13th Conference on Traffic and Granular Flow, TGF 2019, 2019-07-02 → 2019-07-05, Pamplona, Spain Series Springer Proceedings in Physics, 0930-8989, 252 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2020 H.H.S. Nagalur Subraveti, V.L. Knoop, B. van Arem Files PDF NagalurSubraveti2020_Chap ... elSpee.pdf 401.32 KB Close viewer /islandora/object/uuid:e6e39252-610d-41c8-96fc-f02f1ff04250/datastream/OBJ/view