Methodology SHAKER and the Capacity Analysis of Five Toll Plazas

Zarrillo, Marguerite L.; Radwan, A E

doi:10.1061/(asce)0733-947x(2009)135:3(83)

Cited by 18 publications

(3 citation statements)

References 2 publications

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“…Researchers focused on evaluating both the performance of each toll lane, and the entire system using commercial microscopic simulation software including MODSIM, Paramics, and VISSIM [7][8][9][10]. A toll plaza simulation model, SHAKER, was recently developed to determine the hourly maximum capacity with different lane types [11,12]. Wander and Peirce formulated a model to optimize staffing at toll plazas through investigation of traffic parameters at a border checkpoint [13].…”

Section: Description Of the Study Sitementioning

confidence: 99%

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Dynamically Determining the Toll Plaza Capacity by Monitoring Approaching Traffic Conditions in Real-Time

Kim

Kho

et al. 2016

Applied Sciences

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Abstract:This study presents an analytical method for dynamically adjusting toll plaza capacity to cope with a sudden shift in demand. The proposed method uses a proxy measure developed using discharge rate observed at toll plazas and segment travel times measured by probe vehicles. The effectiveness of the method has been evaluated by analyzing the empirical data obtained from toll plazas in the San Francisco Bay Area before and after toll plaza capacity changed. Findings indicate that the estimated number of vehicles stored near the upstream of toll plaza based on discharge rate and their travel times can be used as a proxy measure for predicting the effect of changes in toll plaza capacity. The proposed model can aid government agencies to dynamically adjust the toll plaza capacity in response to a sudden shift in demand due to various situations of failure.

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Section: Description Of the Study Sitementioning

confidence: 99%

“…A toll plaza simulation model, SHAKER, was recently developed to determine the hourly maximum capacity with different lane types [11,12]. Wander and Peirce formulated a model to optimize staffing at toll plazas through investigation of traffic parameters at a border checkpoint [13].…”

Section: Introductionmentioning

confidence: 99%

Dynamically Determining the Toll Plaza Capacity by Monitoring Approaching Traffic Conditions in Real-Time

Kim

Kho

et al. 2016

Applied Sciences

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“…The results indicated that the limited capacity of manual toll gates could lead to queues spill back, interfering and reducing ETC gates capacities [22]. Zarrillo et al (2009) emphasized the significant influence of customer satisfaction to ETC usage rate and suggested that providing an appropriate incentive for regular commuters to convert from manual usage to ETC usage would be the best way to increase the throughput of a toll plaza [23].…”

Section: Introductionmentioning

confidence: 99%

Application of Customer Segmentation for Electronic Toll Collection: A Case Study

Qian

Yang

et al. 2018

Journal of Advanced Transportation

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Applying big data technology, this study presents a customer segmentation method of Electronic Toll Collection (ETC) based on vehicle behavioral characteristics. A segmentation index system of ETC customers comprising Recency, Frequency, and Monetary is extracted and constructed using ETC data. The whole-sample clustering analysis of ETC customers is accomplished with the Clustering LARge Applications (CLARA) algorithm while overcoming the invalidation problem of big data clustering. A decision tree on ETC customer segmentation is constructed and transformed into a set of segmentation rules. Empirical results indicate that the proposed method is better able to analyze travel characteristics and to present values and appreciation potentials for ETC customer classification. This method provides an innovative idea for implementing precision marketing and establishing hierarchical discount rates for ETC customers. Furthermore, it provides theoretical support to increase the ETC customer scale and payment ratio, thus improving the decision-making level in expressway operation and management.

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Analyzing Traffic Performance of Toll Plazas Using Performance Box: A Case Study

Bari¹,

Navandar²,

Dhamaniya³

2022

Lecture Notes in Civil Engineering

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Methodology SHAKER and the Capacity Analysis of Five Toll Plazas

Cited by 18 publications

References 2 publications

Dynamically Determining the Toll Plaza Capacity by Monitoring Approaching Traffic Conditions in Real-Time

Dynamically Determining the Toll Plaza Capacity by Monitoring Approaching Traffic Conditions in Real-Time

Application of Customer Segmentation for Electronic Toll Collection: A Case Study

Analyzing Traffic Performance of Toll Plazas Using Performance Box: A Case Study

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