Abstract
Because of the dispersion of the time and space of its service objects, the general route planning of public transportation is the most difficult part of the public transportation system in big cities to plan. This paper analyzes the hierarchical functions and planning sequence of the public transport network in large-scale multi-center urban areas, and puts forward a method of building a continuum approximation model based on the lowest generalized cost of operators and users for the general line network. This method minimizes the generalized expected cost of bus operators and passengers per unit time by determining the optimal value of decision variables such as the total service distance of the general line of the regional network, the total number of stops, and the departure interval. Using the proposed, after the regional division of Beijing, the general line network was re-optimized. Based on the distribution of Beijing's road network and points of interest, the planned ideal network was checked, and a design that could be implemented was obtained. Compared with the current network, the optimized solution has been significantly improved in terms of cost control and passenger travel experience, reducing corporate operating costs by 5% and passenger travel time by 21%, achieving the goal of reducing costs and increasing efficiency.
Translated title of the contribution | Planning Bus Systems for Mega-cities Based on Continuum Approximation Method |
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Original language | Chinese (Traditional) |
Pages (from-to) | 1-8 and 24 |
Journal | Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology |
Volume | 21 |
Issue number | 6 |
DOIs | |
State | Published - Dec 2021 |
Externally published | Yes |
Keywords
- Continuum approximation
- Generalized cost
- Grid structure
- Transit systems design
- Urban traffic
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Transportation
- Computer Science Applications