Technical Papers
Nov 23, 2022

Study on Vehicle Fuel Consumption and Exhaust Emissions Based on a New Viscous Macroscopic Traffic Flow Model

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 149, Issue 2

Abstract

Based on a conserved higher-order traffic flow model (CHO model), we propose a new viscous macroscopic traffic flow model taking into account the diffusion effect in traffic. The model can reasonably smooth the shock wave so that the acceleration is maintained in a reasonable range. To balance the computational efficiency and accuracy, this viscous macroscopic traffic flow model is integrated with the microscopic vehicle fuel consumption and emission models to estimate vehicle fuel consumption and exhaust emissions. The local discontinuous Galerkin (LDG) method is used to solve the viscous model, and the simulation results are inputted into the microscopic models to calculate vehicle fuel consumption and exhaust emissions. Numerical results illustrate that the proposed viscous model is reasonable and that the designed scheme is feasible and effective. Moreover, we provide concrete suggestions for controlling vehicle fuel consumption and exhaust emissions.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This study was jointly supported by grants from the National Natural Science Foundation of China (72021002, 71890973, 72101185, 11972121, and 71901163).

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 149Issue 2February 2023

History

Received: Apr 29, 2022
Accepted: Sep 26, 2022
Published online: Nov 23, 2022
Published in print: Feb 1, 2023
Discussion open until: Apr 23, 2023

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Dianliang Qiao [email protected]
Postdoctoral, School of Economics and Management, Tongji Univ., Shanghai 200092, China. Email: [email protected]
Bingyou Dai [email protected]
Master’s Degree Candidate, School of Transportation Engineering, Kunming Univ. of Science and Technology, Kunming 650500, China; Assistant Engineer, Broadvision Engineering, National Engineering Laboratory for Surface Transportation Weather Impacts Prevention, Kunming 650500, China. Email: [email protected]
Postdoctoral, School of Economics and Management, Tongji Univ., Shanghai 200092, China. ORCID: https://orcid.org/0000-0001-5370-5184. Email: [email protected]
Mingmin Guo [email protected]
Lecturer, Dept. of Aeronautics and Astronautics, Fudan Univ., Shanghai 200433, China. Email: [email protected]
Xiaoning Zhang [email protected]
Professor, School of Economics and Management, Tongji Univ., Shanghai 200092, China. Email: [email protected]
Professor, Shanghai Institute of Applied Mathematics and Mechanics, School Mechanics and Engineering Science, Shanghai Univ., Shanghai 200072, China (corresponding author). Email: [email protected]
Fangzheng Cheng [email protected]
Research Assistant, School of Economics and Management, Tongji Univ., Shanghai 200092, China. Email: [email protected]

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  • Higher-Order Traffic Flow Model Extended to Road Networks, Journal of Transportation Engineering, Part A: Systems, 10.1061/JTEPBS.TEENG-7556, 149, 4, (2023).

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