Transportmetrica A-Transport Science最新文献

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Multi-period emergency vehicle fleet redistribution and dispatching 多时段应急车队再分配调度
IF 3.3 2区 工程技术
Transportmetrica A-Transport Science Pub Date : 2023-09-03 DOI: 10.1080/23249935.2023.2243344
Zheyi Tan, Lu Zhen, Zhiyuan Yang, Lilan Liu, Tianyi Fan
{"title":"Multi-period emergency vehicle fleet redistribution and dispatching","authors":"Zheyi Tan, Lu Zhen, Zhiyuan Yang, Lilan Liu, Tianyi Fan","doi":"10.1080/23249935.2023.2243344","DOIUrl":"https://doi.org/10.1080/23249935.2023.2243344","url":null,"abstract":"","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45393936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Timing co-evolutionary path optimisation method for emergency vehicles considering the safe passage 考虑安全通道的应急车辆时序协同进化路径优化方法
IF 3.3 2区 工程技术
Transportmetrica A-Transport Science Pub Date : 2023-09-01 DOI: 10.1080/23249935.2023.2253477
Jiabin Wu, Yifeng Lin, Weiwei Qi
{"title":"Timing co-evolutionary path optimisation method for emergency vehicles considering the safe passage","authors":"Jiabin Wu, Yifeng Lin, Weiwei Qi","doi":"10.1080/23249935.2023.2253477","DOIUrl":"https://doi.org/10.1080/23249935.2023.2253477","url":null,"abstract":"","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46888455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Extension of a static into a semi-dynamic traffic assignment model with strict capacity constraints 将具有严格容量约束的静态交通分配模型扩展为半动态交通分配模型
IF 3.3 2区 工程技术
Transportmetrica A-Transport Science Pub Date : 2023-08-24 DOI: 10.1080/23249935.2023.2249118
L.J.N. Brederode, Lotte Gerards, L. Wismans, A. Pel, S. Hoogendoorn
{"title":"Extension of a static into a semi-dynamic traffic assignment model with strict capacity constraints","authors":"L.J.N. Brederode, Lotte Gerards, L. Wismans, A. Pel, S. Hoogendoorn","doi":"10.1080/23249935.2023.2249118","DOIUrl":"https://doi.org/10.1080/23249935.2023.2249118","url":null,"abstract":"","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41314066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Activity-based model based on long short-term memory network and mobile phone signalling data 基于长短期记忆网络和手机信号数据的基于活动的模型
IF 3.3 2区 工程技术
Transportmetrica A-Transport Science Pub Date : 2023-08-08 DOI: 10.1080/23249935.2023.2217283
Yudong Guo , Fei Yang , Siyuan Xie , Zhenxing Yao
{"title":"Activity-based model based on long short-term memory network and mobile phone signalling data","authors":"Yudong Guo ,&nbsp;Fei Yang ,&nbsp;Siyuan Xie ,&nbsp;Zhenxing Yao","doi":"10.1080/23249935.2023.2217283","DOIUrl":"10.1080/23249935.2023.2217283","url":null,"abstract":"<div><p>With the advent of big data era, activity-based model (ABM) has once again become hot topics in the traffic planning. Traffic big data can reflect individual travel patterns, making it possible to establish ABMs. However, current ABMs based on big data are not mature, especially in the individual trip forecasting. Therefore, this paper proposes an advanced ABM using Long Short-Term Memory (LSTM) networks and mobile phone signalling data. The model is skeleton scheduling which contains primary activity chaining and secondary activity nesting. Then a time-dynamic adjustment model is proposed to adjust time conflicts among consecutive activities. A field test is conducted in Chengdu. The KS values of work and leisure departure time reach 35.20 × 10<sup>−2</sup> and 41.02 × 10<sup>−2</sup> separately, and that for activity duration reach 44.91 × 10<sup>−2</sup> and 54.65 × 10<sup>−2</sup>. The results show our model can effectively predict activities, and has better accuracy and stability than existing BN, DT, GRNN, RF and GRU.</p></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41867943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Customised bus route design with passenger-to-station assignment optimisation 客制化巴士路线设计,优化乘客到车站的分配
IF 3.3 2区 工程技术
Transportmetrica A-Transport Science Pub Date : 2023-08-08 DOI: 10.1080/23249935.2023.2214631
Haonan Guo , Yun Wang , Pan Shang , Xuedong Yan , Yunlin Guan
{"title":"Customised bus route design with passenger-to-station assignment optimisation","authors":"Haonan Guo ,&nbsp;Yun Wang ,&nbsp;Pan Shang ,&nbsp;Xuedong Yan ,&nbsp;Yunlin Guan","doi":"10.1080/23249935.2023.2214631","DOIUrl":"10.1080/23249935.2023.2214631","url":null,"abstract":"<div><p>As an emerging and innovative public transportation mode, the customised bus (CB) has drawn widespread attention. Existing studies of the CB mainly focus on issues regarding the bus station location, route design, timetabling, and fare setting, but rarely consider the passenger to bus station assignment problem which can significantly influence passengers’ benefit and the buses’ operating scheme. Thus, this study focuses on the customised bus routing problem with passenger-to-station assignment (CBRP-PSA) aiming to simultaneously minimise passengers’ CB service access cost and the bus route cost. A time-discretized multi-commodity network flow model is developed to jointly determine the CB routes, timetables, and passenger-to-station assignment by allowing split loads and mixed loads. Through the dualization, the developed model is decomposed into two solvable sub-problems, and a Lagrangian-based heuristic solution algorithm is proposed. The model and algorithm are implemented in illustrative, medium-scale, and large-scale transportation networks to demonstrate their effectiveness under different scenarios.</p></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47305596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
FMS-dispatch: a fast maximum stability dispatch policy for shared autonomous vehicles including exiting passengers under stochastic travel demand fms调度:随机出行需求下包括出站乘客在内的共享自动驾驶汽车快速最大稳定调度策略
IF 3.3 2区 工程技术
Transportmetrica A-Transport Science Pub Date : 2023-08-08 DOI: 10.1080/23249935.2023.2214968
Te Xu , Maria Cieniawski , Michael W. Levin
{"title":"FMS-dispatch: a fast maximum stability dispatch policy for shared autonomous vehicles including exiting passengers under stochastic travel demand","authors":"Te Xu ,&nbsp;Maria Cieniawski ,&nbsp;Michael W. Levin","doi":"10.1080/23249935.2023.2214968","DOIUrl":"10.1080/23249935.2023.2214968","url":null,"abstract":"<div><p>Shared autonomous vehicles (SAVs) are a fleet of autonomous taxis that provide point-to-point transportation services for travellers, and have the potential to reshape the nature of the transportation market in terms of operational costs, environmental outcomes, increased tolling efficiency, etc. However, the number of waiting passengers could become arbitrarily large when the fleet size is too small for travel demand, which could cause an unstable network. An unstable network will make passengers impatient and some people will choose some other alternative travel modes, such as metro or bus. To achieve stable and reliable SAV services, this study designs a dynamic queueing model for waiting passengers and provides a fast maximum stability dispatch policy for SAVs when the average number of waiting for passengers is bounded in expectation, which is analytically proven by the Lyapunov drift techniques. After that, we expand the stability proof to a more realistic scenario accounting for the existence of exiting passengers. Unlike previous work, this study considers exiting passengers in stability analyses for the first time. Moreover, the maximum stability of the network doesn't require a planning horizon based on the proposed dispatch policy. The simulation results show that the proposed dispatch policy can ensure the waiting queues and the number of exiting passengers remain bound in several experimental settings.</p></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41873027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bifurcation control based on improved intelligent driver model considering stability and minimum gasoline consumption 基于考虑稳定性和最小汽油消耗的改进智能驾驶员模型的分岔控制
IF 3.3 2区 工程技术
Transportmetrica A-Transport Science Pub Date : 2023-08-07 DOI: 10.1080/23249935.2023.2243345
Liyou Li, Weilin Ren, R. Cheng
{"title":"Bifurcation control based on improved intelligent driver model considering stability and minimum gasoline consumption","authors":"Liyou Li, Weilin Ren, R. Cheng","doi":"10.1080/23249935.2023.2243345","DOIUrl":"https://doi.org/10.1080/23249935.2023.2243345","url":null,"abstract":"","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44620378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Temporal stability of shipment size decisions related to choice of truck type 运输尺寸决定的时间稳定性与卡车类型的选择有关
IF 3.3 2区 工程技术
Transportmetrica A-Transport Science Pub Date : 2023-08-04 DOI: 10.1080/23249935.2023.2214635
Abel Kebede Reda , Jose Holguin-Veras , Lori Tavasszy , Girma Gebresenbet , David Ljungberg
{"title":"Temporal stability of shipment size decisions related to choice of truck type","authors":"Abel Kebede Reda ,&nbsp;Jose Holguin-Veras ,&nbsp;Lori Tavasszy ,&nbsp;Girma Gebresenbet ,&nbsp;David Ljungberg","doi":"10.1080/23249935.2023.2214635","DOIUrl":"10.1080/23249935.2023.2214635","url":null,"abstract":"<div><p>The choice of shipment size is a vital decision in logistics and has a strong indirect influence on freight transport demand, via the choice of mode and truck type choice. Through time, shipment sizes can change as a result of new decisions in the logistics process or due to conditions external to the supply chain. This study investigates the temporal stability of shipment size choices, relating these to the choice of truck types. It uses repeated cross-sectional data for the years 2015, 2017, and 2019 collected from cordon and business establishment surveys in Addis Ababa city, Ethiopia. The integrated choice and latent variables (ICLV) and latent growth (LG) models were used to assess the time-dependent patterns of choosing shipment sizes, both at the level of the entire freight system as well as the specific truck types. The model results reveal that shipment size decisions are temporally unstable where, in our case, shipment sizes exhibited a declining trend.</p></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42305852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Benchmarking the performance of urban rail transit systems: a machine learning application 对城市轨道交通系统的性能进行基准测试:一个机器学习应用
IF 3.3 2区 工程技术
Transportmetrica A-Transport Science Pub Date : 2023-08-02 DOI: 10.1080/23249935.2023.2241566
Farah A. Awad, D. Graham, Laila AitBihiOuali, Ramandeep Singh, Alexander S. Barron
{"title":"Benchmarking the performance of urban rail transit systems: a machine learning application","authors":"Farah A. Awad, D. Graham, Laila AitBihiOuali, Ramandeep Singh, Alexander S. Barron","doi":"10.1080/23249935.2023.2241566","DOIUrl":"https://doi.org/10.1080/23249935.2023.2241566","url":null,"abstract":"SHORT SUMMARY Urban rail transit systems operate in heterogenous environments. Distinguishing between inherent performance and the role of efficiencies due to differing environmental and system-specific characteristics is challenging. This study provides a data-driven benchmarking method which accommodates heterogeneity in operational performance among urban rail systems. Using an international dataset of 36 metros in year 2016, operators are clustered into peer groups through clustering algorithms based on operational characteristics. ANOVA and post-hoc tests are then applied to explore variations between clusters. Finally, efficiency performance benchmarking is conducted through Data Envelopment Analysis. Our clustering results corroborate to the natural geographic grouping of the systems. Moreover, our results show that the use of an aggregated index is inadequate to represent the operator’s overall quality-of-service. Finally, results show that clustering operators into groups based on similarities in their operational characteristics would introduce more meaningful benchmarks for best practices as they are more likely to be attainable.","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59991244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Integration of ridesharing and activity travel pattern generation 拼车与活动出行模式生成的整合
IF 3.3 2区 工程技术
Transportmetrica A-Transport Science Pub Date : 2023-08-01 DOI: 10.1080/23249935.2023.2241570
Ali Najmi, Travis Waller, Wei Liu, T. Rashidi
{"title":"Integration of ridesharing and activity travel pattern generation","authors":"Ali Najmi, Travis Waller, Wei Liu, T. Rashidi","doi":"10.1080/23249935.2023.2241570","DOIUrl":"https://doi.org/10.1080/23249935.2023.2241570","url":null,"abstract":"","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43106740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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