An Integrated Variable Speed Limit and ALINEA Ramp Metering Model in the Presence of High Bus Volume

Abstract

Under many circumstances, when providing full bus priority methods, urban transport officials have to operate buses in mixed traffic based on their road network limitations. In the case of Istanbul's Metrobus lane, for instance, when the route comes to the pre-designed Bosphorus Bridge, it has no choice but to merge with highway mixed traffic until it gets to the other side. Much has been written on the relative success of implementing Ramp Metering (RM), for example ALINEA (&lsquo

Asservissement line&acute

aire d&rsquo

entre&acute

e autoroutie&rsquo

) and Variable Speed Limits (VSL), two of the most widely-used &ldquo

merging congestion&rdquo

management strategies, in both a separate and combined manner. However, there has been no detailed study regarding the combination of these systems in the face of high bus volume. This being the case, the ultimate goal of this study is to bridge this gap by developing and proposing a combination of VSL and RM strategies in the presence of high bus volume (VSL+ALINEA/B). The proposed model has been coded using microscopic simulation software&mdash

VISSIM&mdash

and its vehicle actuated programming (VAP) feature

referred to as VisVAP. For current traffic conditions, the proposed model is able to improve total travel time by 9.0%, lower the number of average delays of mixed traffic and buses by 29.1% and 81.5% respectively, increase average speed by 12.7%, boost bottleneck throughout by 2.8%, and lower fuel consumption, Carbon Monoxide (CO), Nitrogen Oxides (NOx), and Volatile Organic Compounds (VOC) emissions by 17.3% compared to the existing &ldquo

VSL+ALINEA&rdquo

model. The results of the scenario analysis confirmed that the proposed model is not only able to decrease delay times on the Metrobus system but is also able to improve the adverse effects of high bus volume when subject to adjacent mixed traffic flow along highway sections.

Document type: Article

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• http://dx.doi.org/10.3390/su11226326 under the license https://creativecommons.org/licenses/by

• https://www.mdpi.com/2071-1050/11/22/6326/pdf under the license http://creativecommons.org/licenses/by/3.0/

• https://www.mdpi.com/2071-1050/11/22/6326,

https://doaj.org/toc/2071-1050 under the license cc-by

• https://www.mdpi.com/2071-1050/11/22/6326,

https://www.mdpi.com/2071-1050/11/22/6326/pdf,

https://ideas.repec.org/a/gam/jsusta/v11y2019i22p6326-d285814.html,

https://academic.microsoft.com/#/detail/2987458861

• https://www.mdpi.com/2071-1050/11/22/6326/pdf,

http://dx.doi.org/10.3390/su11226326

under the license https://creativecommons.org/licenses/by/4.0/