Calibration of Vissim Models for Rural Freeway Lane Closures: Novel Approach to the Modification of Key Parameters

Jehn, Nicholas; Turochy, Rod E

doi:10.1177/0361198119842824

Cited by 13 publications

(10 citation statements)

References 14 publications

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“…This study focused on calibrating the desired time headway cc1 because it has the greatest influence on car-following behavior ( 21 ). A previous study recommended that using the empirical headway distribution to calibrate the model would be ideal ( 22 ). In other words, the calibration step will attempt to identify parameter values cc0, cc1, and cc2 such that the resulting simulated headways and empirical headways are equivalent.…”

Section: Microscopic Traffic Simulation Modelmentioning

confidence: 99%

“…The default acceleration curves for simulating HV movements in VISSIM are based on data from Western European conditions. It is hypothesized that this assumption might not be directly applicable to modeling the U.S. HV fleet ( 22 ). Therefore, it was decided to calibrate the acceleration parameters, including deceleration, to reflect the HV characteristics at the test site.…”

Section: Microscopic Traffic Simulation Modelmentioning

confidence: 99%

“…Step 2: Measure empirical car-following headways Three parameters that directly contribute to the safety distance of car-following were the focus of the calibration step. These were selected based on the literature review which indicated they had a great impact on the VISSIM driver behavior in work zones (21)(22)(23). They are: (1) the standstill distance cc0, in feet, which refers to the desired minimum distance between two standing vehicles (i.e., lead and following) when both are stopped; (2) the time headway cc1, in seconds, which refers to the desired time between the lead and following vehicles; and (3) following variation cc2, in feet, which refers to the longitudinal oscillation as a driver moves closer to the lead vehicle.…”

Section: Model Calibrationmentioning

confidence: 99%

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Calibration and Validation Methodology for Simulation Models of Intelligent Work Zones

Zhao

Rilett

Haque

2022

Transportation Research Record: Journal of the Transportation R

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Intelligent work zone (IWZ) systems use innovative technologies in real time to mitigate the negative impacts of work zones on the traveling public. The automatic queue detection (AQD) system is one type of IWZ being promoted by the Federal Highway Administration. Several field studies found that AQD systems were successful in reducing average travel speeds which led to a reduction in the number of rear-end crashes and in user costs. It has been shown that well-calibrated microsimulation models are appropriate analysis tools for traditional work zone traffic. To date, there are no tools in the literature that have been developed for AQD operations that have been calibrated and validated with empirical data. This paper aims to fill this gap by providing a comprehensive guideline for calibrating and validating a microsimulation model that can emulate traffic conditions and their impacts on freeway IWZ equipped with AQD systems. Specifically, the methodology includes (1) developing the base work zone model, (2) replicating the AQD warning messages, (3) calibrating the key simulation parameters using three types of data, and (4) validating the resulting simulation model using segment travel times. This comprehensive approach was demonstrated on a Nebraska work zone that was equipped with an AQD system. VISSIM simulation model was used for the underlying tool in the demonstration. The results presented in this paper are useful to both practitioners and scholars who wish to study the impact of the IWZ accurately through microsimulation.

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Section: Microscopic Traffic Simulation Modelmentioning

confidence: 99%

Section: Microscopic Traffic Simulation Modelmentioning

confidence: 99%

Section: Model Calibrationmentioning

confidence: 99%

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Calibration and Validation Methodology for Simulation Models of Intelligent Work Zones

Zhao

Rilett

Haque

2022

Transportation Research Record: Journal of the Transportation R

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“…Specifically, the standstill distance (CC0), time headway (CC1), and desired truck acceleration were iteratively adjusted until 15-min average speeds and the mean QDR were within 20% and 10% of the field data, respectively. The model was deemed adequate and uniquely equipped for obtaining stochastic estimates of capacity based on the probability of breakdown, since time headway distributions would allow for variability in driving behavior like that found in real-world traffic streams (36).…”

Section: Data Collection and Model Developmentmentioning

confidence: 99%

Development of Breakdown Probability Models and Heavy Vehicle Passenger Car Equivalents for Rural Freeway Work Zones

Jehn¹,

Turochy

2020

Transportation Research Record: Journal of the Transportation R

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With nearly nine million lane-miles of public roadway and an economy driven by the automobile, interruptions to normal traffic operations for construction and maintenance are inevitable in the U.S.A., but the substantial safety and mobility impacts associated with queueing at freeway lane closures are mitigable. The current freeway work zone capacity methodology in the 6th edition of the Highway Capacity Manual is a vast improvement over historical guidance but still approaches the issue differently than research suggests agencies and practitioners should. Namely, a capacity defined by the mean queue discharge rate is deterministic and fails to account for the stochastic nature of traffic flow and breakdown. These core issues were addressed in this research by developing a methodology for obtaining probabilistic estimates of rural freeway work zone capacity from simulated data in PTV Vissim. Results for a two-to-one lane closure were presented as a series of breakdown probability distributions to demonstrate the viability of this methodology. The data indicated that the impact of trucks on freeway capacity is exacerbated in the presence of lane closures and led to the development of work zone capacity-based passenger car equivalents. Such a procedure may be extended to freeway facilities exhibiting different geometric, traffic, and environmental characteristics and utilized by agencies to make data-driven, risk tolerance-based planning, design, and operations decisions at freeway work zones.

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“…They noted that HCM 6’s methodology is limited, in that its output is deterministic, whereas in real-life scenarios traffic flow breakdowns are stochastic. Their results indicated that field-measured distribution and truck characteristics were important variables in determining work zone capacities ( 20 ).…”

Section: Introductionmentioning

confidence: 99%

Survey of Work Zone Practices and Validation of Highway Capacity Manual Work Zone Capacity Model

Thapa

Codjoe

Osafo³

2021

Transportation Research Record: Journal of the Transportation R

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Capacity at work zones is one of the major factors affecting queueing at work zones. Different states within the United States use their own methodology in determining work zone capacities and when to implement lane closures at work zones. The objective of this study was two-fold: first, to provide a synthesis of work zone lane closure procedures practiced by the various Departments of Transportation (DOTs) nationwide; and secondly, to validate the Highway Capacity Manual 6th edition’s (HCM 6) work zone capacity model using field-collected data in the state of Louisiana. The first objective was met by administering a survey to DOTs nationwide. The survey revealed that half of the states that responded to the survey require minimum capacity for short-term work zone lane closures, with minimum capacity ranging from 1100 to 1900 passenger cars per hour per lane. In addition, most of the states reported implementing consistent policies across various district offices. The survey findings provide a good source of information on queue analysis and work zone lane closure policies adopted across different DOTs. The second objective was met by collecting traffic flow data from 10 work zone sites within the state of Louisiana and validating the capacity model in the HCM 6. Results showed the HCM 6 model slightly overestimating the average field-observed capacity by 6%. In the absence of local data, the HCM 6 model provides a great tool to estimate work zone capacities in Louisiana.

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Calibration of Vissim Models for Rural Freeway Lane Closures: Novel Approach to the Modification of Key Parameters

Cited by 13 publications

References 14 publications

Calibration and Validation Methodology for Simulation Models of Intelligent Work Zones

Calibration and Validation Methodology for Simulation Models of Intelligent Work Zones

Development of Breakdown Probability Models and Heavy Vehicle Passenger Car Equivalents for Rural Freeway Work Zones

Survey of Work Zone Practices and Validation of Highway Capacity Manual Work Zone Capacity Model

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