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: 10.4121/21273291

Amjed Al-Mousa; Rajaa Alqudah; Ayman Faza (2023): SimToll: A Highway Toll, Lane Selection, and Traffic Modeling Dataset. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/21273291.v2

Dataset

x choose version: version 1 - 2022-10-07

• Engineering Design
• Interdisciplinary Engineering
• Ground Transport
• Engineering
• Transport
• Built Environment and Design

highway, machine learning, TOLL, Traffic Modeling

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Amjed Al-Mousa, Rajaa Alqudah , Ayman Faza

This dataset contains traffic information of a toll highway; the highway consists of a toll lane, a carpool lane, and three regular lanes. The traffic information includes the number of vehicles on each lane type and the average speed on each lane, at ntervals of 6 minutes. The dataset also provides information about the individual drivers/vehicles on the highway, like their eparture and arrival times and the lane used. 

• 2022-10-07 first online

• 2023-05-15 published, posted

4TU.ResearchData

*.csv

Princess Sumaya University for Technology- Computer Engineering Department, Amman, Jordan