EconPapers    
Economics at your fingertips  
 

The Double Lanes Cell Transmission Model of Mixed Traffic Flow in Urban Intelligent Network

Wenjing Tian, Jien Ma (), Lin Qiu, Xiang Wang, Zhenzhi Lin, Chao Luo, Yao Li and Youtong Fang
Additional contact information
Wenjing Tian: College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China
Jien Ma: College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China
Lin Qiu: College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China
Xiang Wang: College of Rail Transportation, Soochow University, Suzhou 215131, China
Zhenzhi Lin: College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China
Chao Luo: College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China
Yao Li: College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China
Youtong Fang: College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China

Energies, 2023, vol. 16, issue 7, 1-17

Abstract: The connected and autonomous vehicle (CAV) is promised to ease congestion in the future with the rapid development of related technologies in recent years. To explore the characteristics of mixed-traffic flow and the dynamic transmission mechanism, this paper firstly detailed the car-following model of different vehicle types, establishing the fundamental diagram of the mixed-traffic flow through considering the different penetration rates and fleet size of CAV. Secondly, this paper constructed the lane-changing judgment mechanism based on the random utility theory. Finally, the paper proposed a lane-level dynamic cell transmission process, combined with a lane-changing strategy and cell transmission model. The effectiveness and feasibility of the model are verified using simulation analysis. This model makes a systematic, theoretical analysis from the perspective of the internal operation mechanism of traffic flow, and the lane-level traffic strategy provides a theoretical basis for balancing urban lane distribution and intelligent traffic management and control.

Keywords: cell transmission model; mixed-traffic flow fundamental diagram; vehicle driving characteristics; lane-changing judgment mechanism; the random utility theory (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/7/3108/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/7/3108/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:7:p:3108-:d:1110663

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3108-:d:1110663