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VEHICLE TRAVEL TIME DISTRIBUTION ESTIMATION AND MISMATCHING VIA MARKOV CHAIN MONTE CARLO METHODS Dissertation Presented to the Faculty of the Graduate School of Cornell University in Partial Fulfillment
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01
To fill out estimation, follow the steps below:
02
Gather all relevant data and information needed for the estimation.
03
Identify the variables and factors that need to be considered for the estimation process.
04
Calculate the initial estimates based on the available information.
05
Review and analyze the initial estimates to ensure accuracy and feasibility.
06
Refine the estimates by considering additional data and adjusting the variables as necessary.
07
Document and record the estimation process, including all assumptions made.
08
Communicate and present the final estimation to the relevant stakeholders.
09
To perform map-matching, follow the steps below:
10
Obtain the raw GPS data or the set of recorded coordinates.
11
Preprocess the raw data by cleaning any noisy or erroneous data points.
12
Obtain a digital map or road network data that will be used for the map-matching process.
13
Apply a suitable map-matching algorithm to match the GPS points to the road network.
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Evaluate the map-matching results by comparing the matched points with the ground truth or known routes.
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Analyze and interpret the map-matched data to derive meaningful insights or perform further analysis.
16
Document the map-matching process and any assumptions or limitations encountered during the process.

Who needs estimation and map-matching via?

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Estimation and map-matching via can be useful for various individuals and organizations, including:
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- Transportation companies and logistic providers to estimate travel times and plan routes effectively.
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- Urban planners and city authorities to analyze traffic patterns and optimize transportation infrastructure.
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- Delivery and courier services to track and manage their fleet efficiently.
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- Emergency services to quickly identify the optimal routes for reaching a destination.
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- Researchers and data analysts to study movement patterns and behavior.
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- GPS navigation and mapping applications to provide accurate and real-time directions.
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Estimation and map-matching via is the process of calculating an approximate value and aligning GPS data with a digital map to improve accuracy.
Companies and individuals who use GPS data for tracking or navigation purposes are required to file estimation and map-matching via.
Estimation and map-matching via can be filled out by providing accurate GPS data and aligning it with a digital map using specialized software.
The purpose of estimation and map-matching via is to ensure the accuracy of GPS data and improve location-based services.
Estimation and map-matching via requires reporting GPS data points, timestamps, and any adjustments made to align the data with the map.
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