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Cross-Comparison and Calibration of Two Microscopic Traffic Simulation Models for Complex Freeway Corridors with Dedicated Lanes. / Kan, Xingan; Xiao, Lin; Liu, Hao; Wang, Meng; Schakel, Wouter; Lu, Xiao-Yun; van Arem, Bart; Shladover, SE; Ferlis, Robert A.

In: Journal of Advanced Transportation, Vol. 2019, 8618476, 2019.

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Kan, Xingan ; Xiao, Lin ; Liu, Hao ; Wang, Meng ; Schakel, Wouter ; Lu, Xiao-Yun ; van Arem, Bart ; Shladover, SE ; Ferlis, Robert A. / Cross-Comparison and Calibration of Two Microscopic Traffic Simulation Models for Complex Freeway Corridors with Dedicated Lanes. In: Journal of Advanced Transportation. 2019 ; Vol. 2019.

BibTeX

@article{3f0434da6d5d4a5e9da98cd53d114b96,
title = "Cross-Comparison and Calibration of Two Microscopic Traffic Simulation Models for Complex Freeway Corridors with Dedicated Lanes",
abstract = "Realistic microscopic traffic simulation is essential for prospective evaluation of the potential impacts of new traffic control strategies. Freeway corridors with interacting bottlenecks and dedicated lanes generate complex traffic flow phenomena and congestion patterns, which are difficult to reproduce with existing microscopic simulation models. This paper discusses two alternative driving behavior models that are capable of modeling freeways with multiple bottlenecks and dedicated lanes over an extended period with varying demand levels. The models have been calibrated using archived data from a complicated 13-mile long section of the northbound SR99 freeway near Sacramento, California, for an 8-hour time period in which the traffic fluctuated from free-flow to congested conditions. The corridor includes multiple bottlenecks, multiple entry and exit ramps, and an HOV lane. Calibration results show extremely good agreement between field data and model predictions. The models have been cross-validated and produced similar macroscopic traffic performance. The main behavior that should be captured for successful modeling of such a complex corridor includes the anticipative and cooperative driver behavior near merges, lane preference in presence of dedicated lanes, and variations in desired headway along the corridor.",
author = "Xingan Kan and Lin Xiao and Hao Liu and Meng Wang and Wouter Schakel and Xiao-Yun Lu and {van Arem}, Bart and SE Shladover and Ferlis, {Robert A.}",
year = "2019",
doi = "10.1155/2019/8618476",
language = "English",
volume = "2019",
journal = "Journal of Advanced Transportation",
issn = "0197-6729",
publisher = "John Wiley and Sons Ltd",

}

RIS

TY - JOUR

T1 - Cross-Comparison and Calibration of Two Microscopic Traffic Simulation Models for Complex Freeway Corridors with Dedicated Lanes

AU - Kan, Xingan

AU - Xiao, Lin

AU - Liu, Hao

AU - Wang, Meng

AU - Schakel, Wouter

AU - Lu, Xiao-Yun

AU - van Arem, Bart

AU - Shladover, SE

AU - Ferlis, Robert A.

PY - 2019

Y1 - 2019

N2 - Realistic microscopic traffic simulation is essential for prospective evaluation of the potential impacts of new traffic control strategies. Freeway corridors with interacting bottlenecks and dedicated lanes generate complex traffic flow phenomena and congestion patterns, which are difficult to reproduce with existing microscopic simulation models. This paper discusses two alternative driving behavior models that are capable of modeling freeways with multiple bottlenecks and dedicated lanes over an extended period with varying demand levels. The models have been calibrated using archived data from a complicated 13-mile long section of the northbound SR99 freeway near Sacramento, California, for an 8-hour time period in which the traffic fluctuated from free-flow to congested conditions. The corridor includes multiple bottlenecks, multiple entry and exit ramps, and an HOV lane. Calibration results show extremely good agreement between field data and model predictions. The models have been cross-validated and produced similar macroscopic traffic performance. The main behavior that should be captured for successful modeling of such a complex corridor includes the anticipative and cooperative driver behavior near merges, lane preference in presence of dedicated lanes, and variations in desired headway along the corridor.

AB - Realistic microscopic traffic simulation is essential for prospective evaluation of the potential impacts of new traffic control strategies. Freeway corridors with interacting bottlenecks and dedicated lanes generate complex traffic flow phenomena and congestion patterns, which are difficult to reproduce with existing microscopic simulation models. This paper discusses two alternative driving behavior models that are capable of modeling freeways with multiple bottlenecks and dedicated lanes over an extended period with varying demand levels. The models have been calibrated using archived data from a complicated 13-mile long section of the northbound SR99 freeway near Sacramento, California, for an 8-hour time period in which the traffic fluctuated from free-flow to congested conditions. The corridor includes multiple bottlenecks, multiple entry and exit ramps, and an HOV lane. Calibration results show extremely good agreement between field data and model predictions. The models have been cross-validated and produced similar macroscopic traffic performance. The main behavior that should be captured for successful modeling of such a complex corridor includes the anticipative and cooperative driver behavior near merges, lane preference in presence of dedicated lanes, and variations in desired headway along the corridor.

UR - http://www.scopus.com/inward/record.url?scp=85063488715&partnerID=8YFLogxK

U2 - 10.1155/2019/8618476

DO - 10.1155/2019/8618476

M3 - Article

VL - 2019

JO - Journal of Advanced Transportation

T2 - Journal of Advanced Transportation

JF - Journal of Advanced Transportation

SN - 0197-6729

M1 - 8618476

ER -

ID: 52081184