The expressway network design problem for multiple urban subregions based on the macroscopic fundamental diagram
Yunran Di, Weihua Zhang, Haotian Shi, Heng Ding, Jinbiao Huo, Bin Ran

TL;DR
This paper introduces a novel method for designing urban expressway networks across multiple subregions using the macroscopic fundamental diagram, optimizing travel time while considering budget constraints and traffic demand variations.
Contribution
It develops a comprehensive traffic model integrating MFD and CTM, and proposes a decision model for network design that accounts for economic and demand factors.
Findings
Constructing new expressways alleviates congestion initially.
Effectiveness of new expressways diminishes as network expands.
Traffic demand variations influence optimal construction schemes.
Abstract
As urbanization advances, cities are expanding, leading to a more decentralized urban structure and longer average commuting durations. The construction of an urban expressway system emerges as a critical strategy to tackle this challenge. However, the traditional link-level network design method faces modeling and solution challenges when dealing with the large-scale expressway network design problem (ENDP). To address the challenges, this paper proposes an expressway network design method for multiple urban subregions based on the macroscopic fundamental diagram (MFD). Initially, a mixed road network traffic model that describes traffic dynamics of multiple subregions and candidate expressways is developed by integrating the MFD and the cell transmission model (CTM). Then, treating urban subregions and candidate expressways as route nodes in the mixed road network, a route choice…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTransportation Planning and Optimization · Traffic control and management · Traffic Prediction and Management Techniques
MethodsEmirates Airlines Office in Dubai
