An Effective Berths-Based Approach to Calculate the Capacity of Drop-Off Exclusive Roadway
To accurately estimate the capacity of multi-lane drop-off exclusive roadway, a calculation approach based on effective berths is proposed. First, the study specifically analyzes different layout types of parking and through lanes and introduces the concept of effective berths of drop-off exclusive roadway. A calculation approach of the capacity of multi-lane drop-off exclusive roadway at airport terminal based on effective berth and spatiotemporal trajectory theory is proposed. The effective berth under a certain level of delay is determined via VISSIM simulation and the drop-off exclusive roadway in Jinan Yaoqiang Airport-China is taken as an example for case analysis. The results show that the accuracy of the proposed method is more than 95%. The proposed approach is more in line with the actual unload process of the drop-off vehicles than traditional methods and lays a theoretical foundation for service level evaluation and the management and guidance of drop-off vehicles.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9789811928123
-
Supplemental Notes:
- © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.
-
Corporate Authors:
Springer Nature Singapore
, -
Authors:
- Zhang, Yaping
- Li, Guifu
- Fu, Chuanyun
- Luo, Qian
-
Conference:
- 5th KES-STS International Symposium (KES-STS 2022)
- Location: Rhodes , Greece
- Date: 2022-6-20 to 2022-6-22
- Publication Date: 2022
Language
- English
Media Info
- Media Type: Web
- Edition: 1
- Pagination: pp 65-74
- Monograph Title: Smart Transportation Systems 2022: Proceedings of 5th KES-STS International Symposium
Subject/Index Terms
- TRT Terms: Airport ground transportation; Loading and unloading; Multilane highways; Parking
- Geographic Terms: Jinan (China)
- Subject Areas: Aviation; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01964422
- Record Type: Publication
- ISBN: 9789811928123
- Files: TRIS
- Created Date: Aug 29 2025 4:51PM