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Title:

Evaluation of the Service Level of a Highway Toll Plaza in Brazil Using Computational Simulation

Accession Number:

01660391

Record Type:

Component

Abstract:

The capacity and service level of highway tolls plazas is directly related to the service time at each toll booth, which depend on operational and human factors; in turn, these aspects influence and help strategic decision-making processes related to toll plaza management. Therefore, this study aims to assess the offered service levels at a Brazilian highway toll plaza, using computational modeling and simulation, and testing the influence of factors over manual customer service. Data collection offered information about the vehicle categories, the payment forms, work shifts, hours of the day and sex of the toll booth operator. It was also possible to collect information about the total number of vehicles, which went through each tool booth and break this information down into its composition. It can be concluded that the service level offered by the toll plaza on normal days is D, in which the vehicles remain in the system (waiting in line, plus processing time at booth) between 45 and 60 seconds. Other important information was extracted from the study upon which may serve as a basis for decision-making related to service, quality, traveling and driver safety provisions, aside from improving the operational system used by the toll road operator.

Supplemental Notes:

This paper was sponsored by TRB committee AHB40 Standing Committee on Highway Capacity and Quality of Service.

Report/Paper Numbers:

18-03040

Language:

English

Authors:

Arantes Inácio, Patrícia Pereira
Leal, Fabiano
Lima, Josiane Palma

Pagination:

16p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Geographic Terms:

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-03040

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:43AM