The primary objective of this paper is to study and analyze the temporal characteristics of
traffic congestions and the associated speed distributions for congested expressways based on
the Floating Car Data (FCD) in Beijing. First, the temporal distributions of congestions with
different intensities are analyzed using the FCD of 5 workdays for a particular expressway
Link N26376. Results show that the longer the continuous congestion lasts, the lower the
speed distribution interval is. Then, the distribution curve is fitted, which finds that the
Log-Logistic model can well describe the survival function distribution of the severe
congestion durations for morning peak-hours of Tuesday. By comparison, it is found that the
duration distribution value of severe congestions at the aggregation interval of 2-minute is
lower than that at the 5-minute interval, and the duration distribution value of severe
congestions on Link N26376 is higher than that on its downstream Links N24162 and N23971.
Finally, the speed distributions in two proposed categories of congestion periods are analyzed
and compared. Results show that if the speed in the present time period falls in a higher
distribution interval, then the probability that the severe congestion will dissipate in the next
time period will be higher.
School of Traffic and Transportation, Beijing Jiaotong University
Texas Southern University
Beijing Transportation Research Center
Presented at the 18th World Congress on ITS, October 2011, Orlando, Florida