Freeway trajectory recordings: on ramp accelerations and gap choices after ramp metering
doi: 10.4121/14791917.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/14791917
doi: 10.4121/14791917
Datacite citation style:
Victor Knoop; Stefan Klomp (2021): Freeway trajectory recordings: on ramp accelerations and gap choices after ramp metering. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14791917.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
categories
geolocation
Delft, A13, freeway entrace "Delft Noord" in southbound direction
lat (N): 52.026
lon (E): 4.360
view on openstreetmap
time coverage
5 November 2019 15h30 to 18h00
licence

This dataset contains the (frames of) videos of freeway data near an on ramp with a ramp metering. It has been used to study the acceleration of vehicles leaving the ramp metering.
Also some trajectories and a transformation to real-world coordinates is available. Please refer to the readme file for the content of each of the files.
history
- 2021-07-15 first online, published, posted
publisher
4TU.ResearchData
format
Various, mostly jpg images and Matlab .m scripts
associated peer-reviewed publication
Ramp Metering with Microscopic Gap Detection Algorithm Design and Empirical Acceleration Verification
references
funding
- ITS edulab
organizations
TU Delft, Faculty of Civil Engineering, Department of Transport and Planning
DATA
files (9)
-
588,209 bytesMD5:
cd4102251db1c3ee2a74edb256e6280f
Knoop_Klomp_ReadmeData.pdf -
2,767,966,180 bytesMD5:
80554e97797ee23d7d6eeb792edcf82d
Film1.zip -
2,717,743,497 bytesMD5:
526ab39af1163c6afcdadcb07425a617
Film2.zip -
3,271,564,385 bytesMD5:
6999460e4f27b3d4c67425d0c2929f41
Film3.zip -
2,918,482,861 bytesMD5:
167f15a22648fba0c0786da8856c1181
Film4.zip -
1,393,532,651 bytesMD5:
89465117d58073c013c0134b12afeedf
Film5.zip -
1,738 bytesMD5:
be42325e66a43dc4b1ac5c5883e6578a
get_acceleration_parameters.zip -
37,138,879 bytesMD5:
5b5091f0592045cc5c75202329df1b47
Trajectories.zip -
17,507 bytesMD5:
290cfd942c97891ae70b8edd940c580d
transform_images.zip - download all files (zip)
13,107,035,907 bytes unzipped