A Multi-Target Urban Transportation Structure Model under the Optimal Capacity Limitation of Road Networks
The construction of urban transportation infrastructures on the supply side is severely limited due to the extensive development of central urban land. Therefore, optimizing the traffic structure with limited resources is particularly important. The work used the optimum capacity of the road network as one of the constraints. Multi-objective linear programming was used to establish the traffic structure model. The total travel volume, energy consumption, travel quality, and social cost were selected as the optimization objectives of the urban transportation structure. The influencing factors of infrastructure capacity (e.g., total travel demand, optimal capacity of road network, slow traffic capacity, and parking lot capacity) were selected as the constraint conditions in optimizing urban transportation structure. The objective was to develop an optimization model considering the constraints of urban infrastructure. Finally, the optimal traffic structure was compared with the actual travel structure using the actual case of Yuexiu District, Guangzhou, China. Suggestions were provided for optimization.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/2640642X
-
Supplemental Notes:
- Abstract reprinted with permission of SAE International.
-
Authors:
- Zhang, Jinwei
- Gao, Jianping
- Publication Date: 2024-8-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
-
Serial:
- SAE International Journal of Sustainable Transportation,Energy, Environment, & Policy
- Volume: 6
- Issue Number: 1
- ISSN: 2640-642X
- EISSN: 2640-6438
- Serial URL: https://saemobilus.sae.org/content/V129-13EJ/
Subject/Index Terms
- TRT Terms: Energy consumption; Highway capacity; Optimization; Roads; Travel demand; Urban areas
- Geographic Terms: Guangzhou (China)
- Subject Areas: Energy; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01930578
- Record Type: Publication
- Source Agency: SAE International
- Report/Paper Numbers: 13-06-01-0003
- Files: TRIS, SAE
- Created Date: Sep 16 2024 9:00AM