Calibration of traffic flow fundamental diagrams for network simulation applications: A two-stage clustering approach

Ziyuan Gu, Meead Saberi , Majid Sarvi, Terry Liu

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

9 Citations (Scopus)


This paper aims to propose a two-stage clustering approach for calibration of traffic flow fundamental diagrams for dynamic traffic assignment (DTA) simulations. Unlike previous research efforts focusing on supervised grouping strategies that are largely dependent on roadway physical attributes, a data-driven perspective is explored using big traffic data. The two-regime modified Greenshields traffic flow model is used to fit the historical observations on a daily basis using the non-linear least squares method. A two-stage clustering approach is proposed based on the calibrated models where the first stage aims to capture day-To-day variations in traffic flow fundamental diagrams while the second stage aims to aggregate links with similar traffic flow characteristics. The standard k-means algorithm is applied in the first stage and a modified hierarchical clustering based on the Fréchet distance is proposed in the second stage. The calibrated and clustered results highlight the feasibility and the effectiveness of the proposed approach.

Original languageEnglish
Title of host publication2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016) 
Subtitle of host publicationRio de Janeiro, Brazil, November 1-4, 2016 [Proceedings]
EditorsDenis Wolf
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781509018895
ISBN (Print)9781509018901
Publication statusPublished - 22 Dec 2016
EventIEEE Conference on Intelligent Transportation Systems 2016 - Sheraton Rio Hotel & Resort, Rio de Janeiro, Brazil
Duration: 1 Nov 20164 Nov 2016
Conference number: 19th (Proceedings) (Website)


ConferenceIEEE Conference on Intelligent Transportation Systems 2016
Abbreviated titleITSC 2016
CityRio de Janeiro
Internet address

Cite this