A state‐of‐the‐art review of the sensor location, flow observability, estimation, and prediction problems in traffic networks
A state‐of‐the‐art review of flow observability, estimation, and prediction problems in traffic
networks is performed. Since mathematical optimization provides a general framework for all …
networks is performed. Since mathematical optimization provides a general framework for all …
Origin-destination pattern estimation based on trajectory reconstruction using automatic license plate recognition data
Origin-destination (OD) pattern estimation is a vital step for traffic simulation applications and
active urban traffic management. Many methods have been proposed to estimate OD …
active urban traffic management. Many methods have been proposed to estimate OD …
Signalized arterial origin-destination flow estimation using flawed vehicle trajectories: A self-supervised learning approach without ground truth
For alleviating arterial congestion, most control strategies provide progression for through
and turning traffic. A prerequisite input is the arterial origin–destination (OD) flow pattern …
and turning traffic. A prerequisite input is the arterial origin–destination (OD) flow pattern …
Statistical inference of probabilistic origin-destination demand using day-to-day traffic data
Recent transportation network studies on uncertainty and reliability call for modeling the
probabilistic OD demand and probabilistic network flow. Making the best use of day-to-day …
probabilistic OD demand and probabilistic network flow. Making the best use of day-to-day …
[HTML][HTML] Comparative analysis of flexural strength prediction in SFRC using frequentist, Bayesian, and Machine Learning approaches
Steel fiber reinforcement significantly enhances the flexural strength of concrete, which is
vital for structural integrity. Annex L of the new Eurocode 2 classifies steel fiber-reinforced …
vital for structural integrity. Annex L of the new Eurocode 2 classifies steel fiber-reinforced …
Calculation of dynamic viscosity in concentrated cementitious suspensions: Probabilistic approximation and Bayesian analysis
We present a new focus for the Krieger–Dougherty equation from a probabilistic point of
view. This equation allows the calculation of dynamic viscosity in suspensions of various …
view. This equation allows the calculation of dynamic viscosity in suspensions of various …
On the probabilistic and physical consistency of traffic random variables and models
In this article we deal with the probabilistic and physical consistency of traffic‐related
random variables and models. We analyze and discuss the conditions for a model to be …
random variables and models. We analyze and discuss the conditions for a model to be …
Estimating travel time in the Helsinki region utilising sequential Bayesian inference
This paper explores application of Bayesian inference (BI) to dynamic travel time estimation
in the Helsinki region. Accurate travel time prediction is crucial in a wide range of fields …
in the Helsinki region. Accurate travel time prediction is crucial in a wide range of fields …
Extracting origin‐destination with vehicle trajectory data and applying to coordinated ramp metering
Ramp metering is an effective measure to alleviate freeway congestion. Traditional methods
were mostly based on fixed‐sensor data, by which origin‐destination (OD) patterns cannot …
were mostly based on fixed‐sensor data, by which origin‐destination (OD) patterns cannot …
Data dependent input control for origin–destination demand estimation using observability analysis
Y Yang, Y Fan - Transportation Research Part B: Methodological, 2015 - Elsevier
In this paper, we address the observability issue of static O–D estimation based on link
counts. Unlike most classic observability analyses that relied only on network topological …
counts. Unlike most classic observability analyses that relied only on network topological …