Reference:
A. Jamshidnejad and
B. De Schutter,
"An iterative procedure for estimating the generalized average speed
using microscopic point measurements," Proceedings of the 2015
International Conference on Models and Technologies for Intelligent
Transportation Systems (MT-ITS), Budapest, Hungary, pp. 38-44,
June 2015.
Abstract:
Various traffic applications including model-based analysis and
control of traffic need the average speed. The average speed is used
as a measure of performance, and as an input for traffic models. It is
also used to obtain the density from a known flow or vice versa. In
this paper, a new iterative procedure is presented that uses point
measurements from inductive loop detectors for estimating the
time-space-mean speed (TSMS), which is an equivalent for the
generalized average speed introduced by Edie (1965). An important
subject that is missing in the literature considering estimation of
the average speed is how to handle the vehicles that remain on a given
road section, i.e., a part of the road that is extended between two
consecutive loop detectors, for more than one sampling cycle. The
problem occurs for the vehicles that are still in the road section at
the end of the cycle. These vehicles are detected by the upstream loop
detector once they enter the road section. However, in future cycles
the data of these vehicles will not be considered by the loop
detector. The iterative approach of the new procedure makes it
possible to adequately take into account the vehicles that will stay
on the same road section for several sampling cycles when estimating
the TSMS. To evaluate the new procedure, the NGSIM data, which
provides detailed information of a collection of vehicle trajectories
on the I-880 highway in the San Francisco Bay Area is utilized. The
simulation results illustrate the excellent performance of the
iterative procedure for estimating the TSMS compared with previous
approaches.
Online version of the
paper
Corresponding technical report:
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