NDLI: Queue profile estimation in signalized arterials by utilizing probe vehicle data

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Queue profile estimation in signalized arterials by utilizing probe vehicle data

Content Provider	Semantic Scholar
Author	Ramezani, Mohsen
Copyright Year	2013
Abstract	Queues at signalized intersections are one of the main causes of traffic delays and urban traffic state variability. Hence, a method to estimate characteristics of queues provides a better understanding of urban traffic dynamics and also a performance measurement of signalized arterials. In order to capture the evolution of queues, we aim at leveraging the collective effect of spatially and temporally dispersed GPS data to identify the queue profile in the time-space plane that designates the manner of formation and dissipation of queues. The queue profile characterizes the time evolution of both queue front and back, which consequently can be separated in a two-step estimation process resulting to the queue profile polygon. The evolution of queue front, in the time-space diagram, based on the kinematic traffic shockwave theory is modeled as a line with the known slope of queue-discharging shockwave. The evolution of back of queue is more challenging and modeled as a piecewise linear function where slope of segments is between the queue-discharging shockwave and zero. In the proposed method, the input data consists of position and velocity of GPS-equipped probe vehicles. In addition, the queue profile estimation method does not require any explicit information of signal settings and arrival distribution. The proposed method is tested with various penetration rates and sampling intervals of GPS data, which reveals promising results once compared to a uniform arrival queue profile estimation procedure. The proposed method could be beneficial for spillback identification, vehicle trajectory construction, and fuel consumption and emission estimation.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.strc.ch/2013/Ramezani_Geroliminis.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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