Peng He, Hao Tang, Feng Chen, Zijia Wang, Ying Sun, Bobo Yang, Jin Wang, Na Li
{"title":"考虑客流分配的城市轨道交通本地线路优化模型","authors":"Peng He, Hao Tang, Feng Chen, Zijia Wang, Ying Sun, Bobo Yang, Jin Wang, Na Li","doi":"10.1007/s40864-024-00212-w","DOIUrl":null,"url":null,"abstract":"<p>It is important to strengthen the research on urban rail transit (URT) existing line renovation strategies. In this paper, we investigate the optimization of bottlenecks that are less attractive but have strong travel demand in existing URT networks. A URT local line optimization model is constructed. The maximum passenger flow and minimum project cost are chosen as the optimization objective for the benefit of both passengers and operators, and several actual constraints are considered in the proposed model, such as the station interval. In order to obtain higher computational efficiency and accuracy, a passenger flow allocation method is embedded in a genetic algorithm with elitist preservation. Taking the local network of the Beijing URT as a case study, the calculation results show that the designed algorithm can quickly and effectively obtain the optimal solution, and the generated local line scheme is able not only to meet the regional travel demand, but also to optimize the connection relationship of the existing URT network. This study can provide a reference method for increasing the attraction of URT and optimization of existing URT networks.</p>","PeriodicalId":44861,"journal":{"name":"Urban Rail Transit","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Local Line Optimization Model for Urban Rail Considering Passenger Flow Allocation\",\"authors\":\"Peng He, Hao Tang, Feng Chen, Zijia Wang, Ying Sun, Bobo Yang, Jin Wang, Na Li\",\"doi\":\"10.1007/s40864-024-00212-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>It is important to strengthen the research on urban rail transit (URT) existing line renovation strategies. In this paper, we investigate the optimization of bottlenecks that are less attractive but have strong travel demand in existing URT networks. A URT local line optimization model is constructed. The maximum passenger flow and minimum project cost are chosen as the optimization objective for the benefit of both passengers and operators, and several actual constraints are considered in the proposed model, such as the station interval. In order to obtain higher computational efficiency and accuracy, a passenger flow allocation method is embedded in a genetic algorithm with elitist preservation. Taking the local network of the Beijing URT as a case study, the calculation results show that the designed algorithm can quickly and effectively obtain the optimal solution, and the generated local line scheme is able not only to meet the regional travel demand, but also to optimize the connection relationship of the existing URT network. This study can provide a reference method for increasing the attraction of URT and optimization of existing URT networks.</p>\",\"PeriodicalId\":44861,\"journal\":{\"name\":\"Urban Rail Transit\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban Rail Transit\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s40864-024-00212-w\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TRANSPORTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Rail Transit","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s40864-024-00212-w","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION","Score":null,"Total":0}
A Local Line Optimization Model for Urban Rail Considering Passenger Flow Allocation
It is important to strengthen the research on urban rail transit (URT) existing line renovation strategies. In this paper, we investigate the optimization of bottlenecks that are less attractive but have strong travel demand in existing URT networks. A URT local line optimization model is constructed. The maximum passenger flow and minimum project cost are chosen as the optimization objective for the benefit of both passengers and operators, and several actual constraints are considered in the proposed model, such as the station interval. In order to obtain higher computational efficiency and accuracy, a passenger flow allocation method is embedded in a genetic algorithm with elitist preservation. Taking the local network of the Beijing URT as a case study, the calculation results show that the designed algorithm can quickly and effectively obtain the optimal solution, and the generated local line scheme is able not only to meet the regional travel demand, but also to optimize the connection relationship of the existing URT network. This study can provide a reference method for increasing the attraction of URT and optimization of existing URT networks.
期刊介绍:
Urban Rail Transit is a peer-reviewed, international, interdisciplinary and open-access journal published under the SpringerOpen brand that provides a platform for scientists, researchers and engineers of urban rail transit to publish their original, significant articles on topics in urban rail transportation operation and management, design and planning, civil engineering, equipment and systems and other related topics to urban rail transit. It is to promote the academic discussions and technical exchanges among peers in the field. The journal also reports important news on the development and operating experience of urban rail transit and related government policies, laws, guidelines, and regulations. It could serve as an important reference for decision¬makers and technologists in urban rail research and construction field.
Specific topics cover:
Column I: Urban Rail Transportation Operation and Management
• urban rail transit flow theory, operation, planning, control and management
• traffic and transport safety
• traffic polices and economics
• urban rail management
• traffic information management
• urban rail scheduling
• train scheduling and management
• strategies of ticket price
• traffic information engineering & control
• intelligent transportation system (ITS) and information technology
• economics, finance, business & industry
• train operation, control
• transport Industries
• transportation engineering
Column II: Urban Rail Transportation Design and Planning
• urban rail planning
• pedestrian studies
• sustainable transport engineering
• rail electrification
• rail signaling and communication
• Intelligent & Automated Transport System Technology ?
• rolling stock design theory and structural reliability
• urban rail transit electrification and automation technologies
• transport Industries
• transportation engineering
Column III: Civil Engineering
• civil engineering technologies
• maintenance of rail infrastructure
• transportation infrastructure systems
• roads, bridges, tunnels, and underground engineering ?
• subgrade and pavement maintenance and performance
Column IV: Equipments and Systems
• mechanical-electronic technologies
• manufacturing engineering
• inspection for trains and rail
• vehicle-track coupling system dynamics, simulation and control
• superconductivity and levitation technology
• magnetic suspension and evacuated tube transport
• railway technology & engineering
• Railway Transport Industries
• transport & vehicle engineering
Column V: other topics of interest
• modern tram
• interdisciplinary transportation research
• environmental impacts such as vibration, noise and pollution
Article types:
• Papers. Reports of original research work.
• Design notes. Brief contributions on current design, development and application work; not normally more than 2500 words (3 journal pages), including descriptions of apparatus or techniques developed for a specific purpose, important experimental or theoretical points and novel technical solutions to commonly encountered problems.
• Rapid communications. Brief, urgent announcements of significant advances or preliminary accounts of new work, not more than 3500 words (4 journal pages). The most important criteria for acceptance of a rapid communication are novel and significant. For these articles authors must state briefly, in a covering letter, exactly why their works merit rapid publication.
• Review articles. These are intended to summarize accepted practice and report on recent progress in selected areas. Such articles are generally commissioned from experts in various field s by the Editorial Board, but others wishing to write a review article may submit an outline for preliminary consideration.