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Basic Diagram Model of Mixed Traffic Flow Considering Buses Qingdao University of Technology
- Format:
- Book
- Conference/Event
- Author/Creator:
- Xiao, Yujie, author.
- Conference Name:
- 2025 International Conference on Transportation Infrastructure and Engineering (ICTIE2025) (2025-06-06 : Guilin, China)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2025
- Summary:
- The emergence of connected and autonomous vehicle (CAV) technologies has ushered in a new era of mixed traffic flow, where CAVs will coexist with human-driven vehicles (HDVs) for the foreseeable future. To investigate the fundamental relationships among flow, density, and speed in this heterogeneous traffic environment, this study develops a comprehensive analytical framework that explicitly accounts for the impact of bus integration in mixed traffic streams. The study initially identifies vehicle classifications and their respective distribution ratios within heterogeneous traffic streams. A fundamental graphical representation of mixed traffic patterns is established, followed by a comprehensive sensitivity evaluation focusing on free-flow velocity parameters within the proposed framework. Subsequently, a micro-level simulation platform is developed utilizing SUMO software. Research outcomes reveal a favorable link between the percentage of integrated self-driving cars and improvements in traffic flow and congestion measures
- Notes:
- Vendor supplied data
- Publisher Number:
- 2025-99-0309
- Access Restriction:
- Restricted for use by site license
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