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JOURNAL OF Engineering Science and Technology Review 4 (1) (2011) 8791 Engineering Science and Technology Review Research Article www.jestr.org 85Th Percentile Speed Prediction Model For Bode Said
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How to fill out 85th percentile speed prediction

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How to fill out 85th percentile speed prediction:

01
Understand the concept: The 85th percentile speed prediction is a measure used in transportation engineering to determine the speed at which 85% of drivers travel on a specific roadway segment. It helps in determining appropriate speed limits and designing safe roadways.
02
Gather data: Collect relevant data such as traffic volume, vehicle counts, and speed data for the specific roadway segment you want to analyze. This can be obtained through surveys, traffic cameras, or using specialized software.
03
Organize the data: Compile the collected data into a format that can be easily analyzed. This could be a spreadsheet or a traffic analysis software program.
04
Calculate the 85th percentile speed: Analyze the speed data to determine the speed at which 85% of drivers are traveling. This is usually done by sorting the speeds in ascending order and identifying the speed value that corresponds to the 85th percentile.
05
Consider additional factors: While the 85th percentile speed is an important indicator, it should be considered alongside other factors such as road conditions, pedestrian activity, and visibility to ensure a comprehensive analysis.
06
Interpret the results: Once the 85th percentile speed has been determined, it can be used to inform decisions regarding speed limits and roadway design. Higher speed limits may be appropriate if the majority of drivers are already traveling at or above the 85th percentile speed.
07
Document and communicate findings: Record the methodology used, the data collected, and the results obtained during the 85th percentile speed prediction process. This information should be communicated to relevant stakeholders such as transportation agencies, city planners, and engineers.

Who needs 85th percentile speed prediction?

01
Traffic engineers: Traffic engineers utilize the 85th percentile speed prediction to determine appropriate speed limits for roadways. This helps in promoting safety and ensuring a smooth traffic flow by aligning the speed limits with the natural driving behavior of the majority of drivers.
02
City planners: City planners consider the 85th percentile speed prediction when designing or modifying roadway infrastructure. This information helps in making informed decisions about road widening, signal placement, and the introduction of traffic calming measures.
03
Transportation agencies: Transportation agencies at the local, regional, or national level rely on the 85th percentile speed prediction to establish consistent speed limit guidelines across different roadways. This ensures uniformity and allows for effective enforcement of speed limits.
04
Road safety advocates: Advocates for road safety often refer to the 85th percentile speed prediction when advocating for safer roadways. It serves as an evidence-based approach to setting speed limits and reducing the risk of crashes.
05
Law enforcement agencies: Police departments and highway patrols use the 85th percentile speed prediction as a benchmark to enforce speed limits. This approach helps in establishing reasonable speed limits that are accepted by the majority of drivers, encouraging compliance and reducing the likelihood of speed-related incidents.
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The 85th percentile speed prediction is a statistical measure that represents the speed at or below which 85% of vehicles are traveling on a specific road or highway.
Transportation agencies and authorities responsible for managing roads and highways are typically required to file 85th percentile speed predictions.
To fill out a 85th percentile speed prediction, data on vehicle speeds must be collected and analyzed to determine the speed at which 85% of vehicles are traveling.
The purpose of 85th percentile speed prediction is to help transportation agencies set appropriate speed limits and design roads that accommodate the majority of drivers.
The 85th percentile speed prediction should include the location of the road, the date and time of data collection, the calculated speed at the 85th percentile, and any other relevant data.
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