2012
DOI: 10.1109/tits.2012.2190403
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Number of Lane Changes Determined by Splashover Effects in Loop Detector Counts

Abstract: Lane changes are important in quantifying traffic for both operational and planning purposes. Traditional in-lane loop detectors do not count lane changes; hence, historically, traffic engineers have estimated them using other data sources. This paper provides a method for estimating the number of lane changes based on observations of "straddling" vehicles that are simultaneously detected by the loops in adjacent lanes. In the data considered here, such "straddles" almost always correspond to vehicles that are… Show more

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Cited by 9 publications
(7 citation statements)
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“…Figure 6 shows the distribution of dimensionless periods (period times β ) and dimensionless amplitudes (amplitude divided by v c ) as a function of m σ ~ and the average speed at the start of the uphill segment, V avg . It can be seen that: (i) the dimensionless period is a decreasing function of m σ ~ and the dimensionless amplitude is an increasing function of m σ ~ ; (ii) the distribution of the dimensionless period and the dimensionless amplitude as a function of V avg agrees well with the empirical data reported previously ( 18 , 32 ); and (iii) all distributions exhibit a large variance. These results are similar to those reported previously, except that the relationship between the dimensionless period and amplitude are correlated with m σ ~ and not simply σ ~ ( 23 ).…”
Section: Model Propertiessupporting
confidence: 87%
“…Figure 6 shows the distribution of dimensionless periods (period times β ) and dimensionless amplitudes (amplitude divided by v c ) as a function of m σ ~ and the average speed at the start of the uphill segment, V avg . It can be seen that: (i) the dimensionless period is a decreasing function of m σ ~ and the dimensionless amplitude is an increasing function of m σ ~ ; (ii) the distribution of the dimensionless period and the dimensionless amplitude as a function of V avg agrees well with the empirical data reported previously ( 18 , 32 ); and (iii) all distributions exhibit a large variance. These results are similar to those reported previously, except that the relationship between the dimensionless period and amplitude are correlated with m σ ~ and not simply σ ~ ( 23 ).…”
Section: Model Propertiessupporting
confidence: 87%
“…Traditional traffic observations are made at one point, which limits the possibility of observing the performed LCs, although recent techniques allow to overcome this limitation [12].…”
Section: B Discretionary Lane-changing Models and Their Calibration mentioning
confidence: 99%
“…In addition to traffic video, other approaches can be employed to measure LC. Knoop et al determined the number of LCs by splashover effects in loop detector counts [ 30 ]. They collected the data from a three-lane freeway in the United Kingdom where the loop detectors are densely placed, obtained the relationship between the LC rates and roadway density, and determined the ramp’s impact on LC.…”
Section: Introductionmentioning
confidence: 99%