A Novel Longitudinal Control Strategy of Connected Automated Vehicle in Heterogeneous Traffic Flow and String Stability Analysis
Paper i proceeding, 2023

To cope with the randomness derived from the human driving in heterogeneous traffic consists of human-driving vehicles and connected automated vehicles (CAVS), a longitudinal car-following control strategy of CAV is proposed based on the original Intelligent Driver Model (IDM) model and model predictive control (MPC) structure. The string stability of heterogeneous platoon is verified by head-to-tail string stability criteria. Results indicate the strategy proposed can reflect the relationship between the speed and string stability and prove the adaptability to different traffic conditions.

Författare

Li Genze

Tongji University

Zhang Lanfang

Tongji University

Shuli Wang

Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik

Smart Innovation, Systems and Technologies

2190-3018 (ISSN) 2190-3026 (eISSN)

Vol. 356 149-160
9789819932832 (ISBN)

6th KES International Symposium on Smart Transportation Systems, KES STS 2023
Rome, Italy,

Ämneskategorier

Farkostteknik

Reglerteknik

DOI

10.1007/978-981-99-3284-9_14

Mer information

Senast uppdaterat

2024-06-24