ESTIMATING TIME TRAVEL DISTRIBUTIONS ON SIGNALIZED ARTERIALS
First Claim
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1. A method for estimating time travel distributions on signalized arterials, the method comprising:
- receiving travel data about a signalized arterial collected by one or more reidentification devices, the travel data corresponding to data collected within a common time segment in each of a plurality of different days;
receiving real-time travel data about the signalized arterial collected by one or more reidentification devices; and
executing instructions stored in memory, wherein execution of the instructions by a processor;
normalizes the travel data into a plurality of individual pace values, the pace values expressed as a ratio of time per distance,calculates an average pace value for the signalized arterial as a linear combination of the individual pace values weighted by distance traveled across the signalized arterial,estimates a distribution based on the average pace value, travel data, and store the estimated distribution in memory, calibrates the distribution based on the real-time travel data, andgenerates a real-time prediction of the traffic conditions of the signalizedarterial based on the calibrated distribution.
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Abstract
A system is provided for estimating time travel distributions on signalized arterials. The system may be implemented as a network service. Traffic data regarding a plurality of travel times on a signalized arterial may be received. A present distribution of the travel times on the signalized arterial may be determined. A prior distribution based on one or more travel time observations may also be determined. The present distribution may be calibrated based on the prior distribution.
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Citations
18 Claims
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1. A method for estimating time travel distributions on signalized arterials, the method comprising:
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receiving travel data about a signalized arterial collected by one or more reidentification devices, the travel data corresponding to data collected within a common time segment in each of a plurality of different days; receiving real-time travel data about the signalized arterial collected by one or more reidentification devices; and executing instructions stored in memory, wherein execution of the instructions by a processor; normalizes the travel data into a plurality of individual pace values, the pace values expressed as a ratio of time per distance, calculates an average pace value for the signalized arterial as a linear combination of the individual pace values weighted by distance traveled across the signalized arterial, estimates a distribution based on the average pace value, travel data, and store the estimated distribution in memory, calibrates the distribution based on the real-time travel data, and generates a real-time prediction of the traffic conditions of the signalized arterial based on the calibrated distribution. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A non-transitory computer-readable storage medium, having embodied thereon a program executable by a processor to perform a method for estimating time travel distributions on signalized arterials, the method comprising:
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receiving travel data about a signalized arterial collected by one or more reidentification devices, the travel data corresponding to data collected within a common time segment in each of a plurality of different days; receiving real-time travel data about the signalized arterial collected by one or more reidentification devices; normalizing the travel data into a plurality of individual pace values, the pace values expressed as a ratio of time per distance; calculating an average pace value for the signalized arterial as a linear combination of the individual pace values weighted by distance traveled across the signalized arterial; estimating a distribution based on the average pace value, travel data, and store the estimated distribution in memory; calibrating the distribution based on the real-time travel data; and generating a real-time prediction of the traffic conditions of the signalized arterial based on the calibrated distribution. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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Specification