What question did this study set out to answer?

To develop an economical method for estimating the real-time number of vehicles on a defined roadway segment using boundary speed and flow measurements.

August 1, 1971Transportation Science

On-Line Estimation of Traffic Densities from Time-Series of Flow and Speed Data

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Authors

DGDenos C. GazisPPG Industries (United States)CKC. KnappUniversity of Connecticut

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Implication

Computational modeling demonstrates accurate real-time roadway vehicle count estimation from boundary sensors, highlighting an economical approach to traffic monitoring.

Key Points

To develop an economical method for estimating the real-time number of vehicles on a defined roadway segment using boundary speed and flow measurements.
Monitored traffic speed and flow continuously at the entrance and exit boundaries of a roadway section.
Calculated periodic rough vehicle counts and applied a sequential correction filter to eliminate random measurement errors.
Optimized the estimation workflow to minimize sensor requirements and computational data processing overhead.
Successively removed random count errors through sequential filtering to maintain stable traffic density estimates over time.
Achieved real-time roadway density tracking using minimal boundary instrumentation rather than extensive lane-wide sensor networks.

Cite This Study

Gazis et al. (1971) studied this question.

synapsesocial.com/papers/6a73406b294a46cc7b2c1b44 https://doi.org/10.1287/trsc.5.3.283

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Implication

Computational modeling demonstrates accurate real-time roadway vehicle count estimation from boundary sensors, highlighting an economical approach to traffic monitoring.

On-Line Estimation of Traffic Densities from Time-Series of Flow and Speed Data

Discussion

Member takes

Implication

Key Points

Cite This Study

On-Line Estimation of Traffic Densities from Time-Series of Flow and Speed Data

Discussion

Member takes

Implication

Key Points

Cite This Study

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