A methodology for calibrating microscopic simulation for modeling traffic flow under incidents

Rompis, Semuel Y. R.; Habtemichael, Filmon; Cetin, Mecit

doi:10.1109/itsc.2014.6958199

Cited by 9 publications

(6 citation statements)

References 21 publications

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“…The first stage referred to a reasonable adjustment of the input data (desired speeds) in order to minimize the divergence from the field data (BT travel times), while the second stage referred to the selection of the optimal parameter set. In order to conclude to the optimal parameter set, a certain zone of suitable parameters' values was determined based on Xin (2013) and Rompis et al (2014). The optimum values were selected based on a repetitive process of trial and error in the delimited zone.…”

Section: Discussionmentioning

confidence: 99%

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Motorway Network Simulation Using Bluetooth Data

Karakikes

Spangler

Margreiter

2016

Transport and Telecommunication Journal

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This paper describes a systematic calibration process of a Vissim model, based on data derived from BT detectors. It also provides instructions how to calibrate and validate a highway network model based upon a case study and establishes an example for practitioners that are interested in designing highway networks with micro simulation tools. Within this case study, a 94,5 % proper calibration to all segments was achieved First, an overview of the systematic calibration approach that will be followed is presented. A description of the given datasets follows. Finally, model's systematic calibration and validation based on BT data from segments under free flow conditions is thoroughly explained. The delivered calibrated Vissim model acts as a test bed, which in combination with other analysis tools can be used for potential future exploitation regarding transportation related purposes.

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Section: Discussionmentioning

confidence: 99%

“…Other papers by Gomes et al (2004) and Rompis et al (2014), referring also to highway model calibration, conclude to values for CC1 around 1.5 while concerning the CC2 parameter, Rompis et al…”

Section: Second Stage Calibrationmentioning

confidence: 90%

Motorway Network Simulation Using Bluetooth Data

Karakikes

Spangler

Margreiter

2016

Transport and Telecommunication Journal

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“…Rahman and Mattingly found that the car-following values proposed in prior studies for incident modeling produced better results relative to macroscopic measures compared with the default values (23). Rompis et al developed a method for Vissim calibration based on kinematic queuing theory (24). The incident was modeled by coding a traffic signal in Vissim.…”

Section: Is Segment I Average Speed < 35 Mph?mentioning

confidence: 99%

Safety Impacts of Queue Warning in a Connected Vehicle Environment

Khazraeian

Hadi

Xiao

2017

Transportation Research Record: Journal of the Transportation R

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Queue warning systems (QWSs) have been implemented to increase traffic safety by informing drivers about queued traffic ahead so that they can react in a timely manner to the queue. Existing QWSs rely on fixed traffic sensors to detect the back of a queue. It is expected that if the transmitted messages from connected vehicles (CVs) are used for this purpose, detection can be faster and more accurate. In addition, with CVs, delivery of the messages can be done with onboard units instead of dynamic message signs and provide more flexibility on how far upstream of the queue the messages are delivered. This study investigates the accuracy and benefits of the QWS on the basis of CV data. The study evaluated the safety benefits of the QWS under different market penetrations of CVs in future years. Surrogate safety measures were estimated with simulation modeling combined with the surrogate safety assessment model tool. Results from this study indicate that a relatively low market penetration—about 3% to 6%—for the congested freeway examined in this study was sufficient for an accurate and reliable estimation of the queue length. Even at 3% market penetration, the CV-based estimation of back-of-queue identification was significantly more accurate than that based on detector measurements. The results also found that CV data allowed faster detection of the bottleneck and queue formation. Further, the QWS improved the safety conditions of the network by reducing the number of rear-end conflicts. Safety effects become significant when the compliance percentage with the queue warning messages is more than 15%.

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“…Recently, researchers have been focusing on using microscopic traffic simulation to quantify IID (19,20). The problem with simulation-based estimation of IID is that the model has to be well-calibrated and validated for incident and incident-free scenarios during peak and off-peak hours (21). A simulation model calibrated for normal traffic conditions would not be helpful unless it is validated for incident scenarios, which would make model calibration and validation cumbersome and time-consuming.…”

Section: Literature Reviewmentioning

confidence: 99%

Incident-Induced Delays on Freeways

Habtemichael

Cetin

Anuar

2015

Transportation Research Record: Journal of the Transportation R

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Freeway incidents cause nonrecurrent congestion, which contributes significantly to overall travel delays. This paper provides a method to estimate the magnitude of delays resulting from incidents. Incident-induced delays can be estimated by establishing an incident-free reference travel time profile as a basis from which the incident-induced delay is measured. The main objective of this paper is to show how to establish the reference profile from a subset of candidate profiles of similar traffic patterns. To identify similar traffic patterns, a hybrid of travel time and volume profiles was used. To establish the reference profile, three methods for candidate profile identification were investigated: day of the week based, cluster analysis based, and k–nearest neighbor based. Weighted summations of the candidate profiles were also investigated: arithmetic average, Shepard's inverse distance method, and rank exponent method. A ground truth experiment was conducted, and the results showed that the best way to formulate the reference traffic profile was by using the k–nearest neighbor in combination with the weighted summation of rank exponent method. The proposed approach provides practical guidance to estimate incident-induced delays more accurately.

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A methodology for calibrating microscopic simulation for modeling traffic flow under incidents

Cited by 9 publications

References 21 publications

Motorway Network Simulation Using Bluetooth Data

Motorway Network Simulation Using Bluetooth Data

Safety Impacts of Queue Warning in a Connected Vehicle Environment

Incident-Induced Delays on Freeways

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