{"title":"Social optimum for linear staggered shifts in a single-entry traffic corridor with no late arrivals","authors":"Chuanyao Li, Yichao Lu, Gege Jiang, Qijia Sun","doi":"10.1080/21680566.2022.2113176","DOIUrl":null,"url":null,"abstract":"The staggered shifts scheme has been widely discussed to alleviate traffic congestion in recent years. However, most previous research considers limited numbers of work start times and ignores the dynamic characteristics of traffic flow. In this paper, we consider a linear staggered shifts (LSS) scheme, which assumes the work start times for commuters is a continuous time period, to replace the identical work start time in a single-entry traffic corridor. We analytically derive the social optimal (SO) assignment and find the optimal LSS scheme in the flow congestion model with no late arrivals. The evolvement laws of traffic flow in the time–space dimension and corresponding economic properties with the optimal LSS scheme are also investigated. Results demonstrate that the application of the proposed optimal LSS scheme will not change the flow pattern of commuters in SO but significantly reduce the total trip cost.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportmetrica B-Transport Dynamics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/21680566.2022.2113176","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 2
Abstract
The staggered shifts scheme has been widely discussed to alleviate traffic congestion in recent years. However, most previous research considers limited numbers of work start times and ignores the dynamic characteristics of traffic flow. In this paper, we consider a linear staggered shifts (LSS) scheme, which assumes the work start times for commuters is a continuous time period, to replace the identical work start time in a single-entry traffic corridor. We analytically derive the social optimal (SO) assignment and find the optimal LSS scheme in the flow congestion model with no late arrivals. The evolvement laws of traffic flow in the time–space dimension and corresponding economic properties with the optimal LSS scheme are also investigated. Results demonstrate that the application of the proposed optimal LSS scheme will not change the flow pattern of commuters in SO but significantly reduce the total trip cost.
期刊介绍：
Transportmetrica B is an international journal that aims to bring together contributions of advanced research in understanding and practical experience in handling the dynamic aspects of transport systems and behavior, and hence the sub-title is set as “Transport Dynamics”.
Transport dynamics can be considered from various scales and scopes ranging from dynamics in traffic flow, travel behavior (e.g. learning process), logistics, transport policy, to traffic control. Thus, the journal welcomes research papers that address transport dynamics from a broad perspective, ranging from theoretical studies to empirical analysis of transport systems or behavior based on actual data.
The scope of Transportmetrica B includes, but is not limited to, the following: dynamic traffic assignment, dynamic transit assignment, dynamic activity-based modeling, applications of system dynamics in transport planning, logistics planning and optimization, traffic flow analysis, dynamic programming in transport modeling and optimization, traffic control, land-use and transport dynamics, day-to-day learning process (model and behavioral studies), time-series analysis of transport data and demand, traffic emission modeling, time-dependent transport policy analysis, transportation network reliability and vulnerability, simulation of traffic system and travel behavior, longitudinal analysis of traveler behavior, etc.
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