Gasoline Pricing Policy for Transportation Safety

Safaei, Nima; Zhou, Chao

doi:10.31224/osf.io/s4k7e

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…Nowadays, almost all state DOTs are using automated surveying tools to evaluate pavement conditions. The data collection covers pavement distress data such as transverse cracking, longitudinal cracking, alligator cracking, wheel-path cracking, patching, and surface friction [10][11][12]. To summarize the pavement condition, the U.S Army Corps of Engineering developed the Pavement Condition Index (PCI) in the 1970s.…”

Section: Introductionmentioning

confidence: 99%

How Prediction Accuracy can Affect the Decision-Making Process in Pavement Management System

Hosseini¹,

Smadi²

2020

Preprint

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One of the most important components of pavement management systems is predicting the deterioration of the network through performance models. The accuracy of the prediction model is important for prioritizing maintenance action. This paper describes how the accuracy of prediction models can have an effect on the decision-making process in terms of the cost of maintenance and rehabilitation activities. The process is simulating the propagation of the error between the actual and predicted values of pavement performance indicators. Different rate of error was added into the result of prediction models. The results showed a strong correlation between the prediction models’ accuracy and the cost of maintenance and rehabilitation activities. Also, increasing the rate of error contribution to the prediction model resulting in a higher benefit reduction rate.

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Section: Introductionmentioning

confidence: 99%

How Prediction Accuracy can Affect the Decision-Making Process in Pavement Management System

Hosseini¹,

Smadi²

2020

Preprint

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Review of Methods for Estimating Construction Work Zone Capacity

Mashhadi

Farhadmanesh

Rashidi

et al. 2021

Transportation Research Record

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Road reconstruction and the resulting work zones are considered as a major source of traffic congestion and delays on freeways. The roadway capacity is decreased as a result of a reduced number of traffic lanes, narrower lanes, and work zone speed limits. Accurate prediction of construction work zone capacity helps traffic engineers to have a better estimation of the traffic flow characteristics. To this end, multiple methodologies have been developed to quantify the impacts of work zones on traffic flow. This paper presents a critical review of the three types of approaches to estimating construction work zone capacities, including parametric, non-parametric, and simulation. Then the most commonly considered factors and their frequency are presented. It also performs a detailed review of the approaches, their objectives, and weaknesses. Lastly, it provides recommendations for future research. The presented work could help researchers in the area of work zone capacity estimation by presenting all the previous methodologies in one place.

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How Prediction Accuracy Can Affect the Decision-Making Process in Pavement Management System

Hosseini

Smadi

2021

Infrastructures

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One of the most important components of pavement management systems is predicting the deterioration of the network through performance models. The accuracy of the prediction model is important for prioritizing maintenance action. This paper describes how the accuracy of prediction models can have an effect on the decision-making process in terms of the cost of maintenance and rehabilitation activities. The process is simulating the propagation of the error between the actual and predicted values of pavement performance indicators. Different rate of error (10%, 30%, 50%, 70%, and 90%) was added into the result of prediction models. The results showed a strong correlation between the prediction models’ accuracy and the cost of maintenance and rehabilitation activities. The cost of treatment (in millions of dollars) over 20 years for five different scenarios increased from ($54.07–$92.95), ($53.89–$155.48), and ($74.41–$107.77) for asphalt, composite, and concrete pavement types, respectively. Increasing the rate of error also contributed to the prediction model, resulting in a higher benefit reduction rate.

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Gasoline Pricing Policy for Transportation Safety

Cited by 3 publications

References 22 publications

How Prediction Accuracy can Affect the Decision-Making Process in Pavement Management System

How Prediction Accuracy can Affect the Decision-Making Process in Pavement Management System

Review of Methods for Estimating Construction Work Zone Capacity

How Prediction Accuracy Can Affect the Decision-Making Process in Pavement Management System

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