Transportmetrica A-Transport Science最新文献_第9页

Cooperative design of feeder bus and bike-sharing systems 接驳巴士和共享单车系统的合作设计

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-02-28 DOI: 10.1080/23249935.2024.2318618

Miaoqing Hu, W. Y. Szeto, Yue Wang

引用次数: 0

Measuring robustness in uncertain topologies: a study of on-demand bus networks 衡量不确定拓扑结构中的稳健性：按需巴士网络研究

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-02-15 DOI: 10.1080/23249935.2024.2317783

Jin-Yang Li, Jing Teng, Hui Wang

引用次数: 0

Uncertainty-aware human-like driving policy learning with deep Bayesian inverse reinforcement learning 利用深度贝叶斯逆强化学习实现不确定性感知的类人驾驶策略学习

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-02-15 DOI: 10.1080/23249935.2024.2318621

Di Zeng, Ling Zheng, Xiantong Yang, Yinong Li

引用次数: 0

Equilibrium condition-based optimization models for network-wide travel time estimation using limited observed data 基于平衡条件的优化模型，利用有限的观测数据进行全网旅行时间估算

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-31 DOI: 10.1080/23249935.2024.2304033

Shuhan Cao, William H. K. Lam, Keqin Liu, Hu Shao, Mei Lam Tam, Ting Wu

引用次数: 0

Integrated physical and service network design of suburban rail under the coordination of urban rail 城市轨道协调下的市郊轨道综合物理和服务网络设计

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-22 DOI: 10.1080/23249935.2024.2302477

Xinmei Chen, Virginie Lurkin, Dian Wang, Qiyuan Peng, Siyu Tao

引用次数: 0

Network-wide ride-sourcing passenger demand origin-destination matrix prediction with a generative adversarial network 基于生成对抗网络的全网网约车乘客需求始发-目的地矩阵预测

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2109774

Changlin Li , Liang Zheng , Ning Jia

{"title":"Network-wide ride-sourcing passenger demand origin-destination matrix prediction with a generative adversarial network","authors":"Changlin Li , Liang Zheng , Ning Jia","doi":"10.1080/23249935.2022.2109774","DOIUrl":"10.1080/23249935.2022.2109774","url":null,"abstract":"<div><p>Accurate short-term passenger demand origin-destination (OD) matrix prediction contributes to the coordination of traffic supply and demand. This study proposes a novel generative adversarial network (GAN) named Conditional Wasserstein Generative Adversarial Network with Gradient Penalty (CWGAN-GP) to predict the network-wide ride-sourcing passenger demand OD matrix. The proposed CWGAN-GP model can not only capture internal spatiotemporal features of OD matrices, but also characterise external dependencies of OD matrices on conditional information, such as the traffic zone-based average traffic speeds, the traffic zone area, and time variables. Based on the ride-sourcing GPS trajectories from Didi Chuxing, Chengdu, China, and ride-sourcing data from the New York City, numerical results illustrate that the predicted OD matrices are in good agreement with the actual ones, and CWGAN-GP has good convergence performance by analysing the discriminator loss and the Wasserstein distance with respect to training epochs. Comparison results also validate the outperformance of CWGAN-GP compared with the other counterpart prediction methods and the reasonability of specific structures of CWGAN-GP. Thus, CWGAN-GP is concluded to be promising to predict network-wide ride-sourcing passenger demand OD matrices.</p></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"20 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48594325","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

Spatial and cross-sectoral relationships in business entry dynamics around a highway corridor 公路走廊周围商业进入动态的空间和跨部门关系

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2138627

Shagun Mittal , Takahiro Yabe , Indraneel Kumar , Satish V. Ukkusuri

{"title":"Spatial and cross-sectoral relationships in business entry dynamics around a highway corridor","authors":"Shagun Mittal , Takahiro Yabe , Indraneel Kumar , Satish V. Ukkusuri","doi":"10.1080/23249935.2022.2138627","DOIUrl":"10.1080/23249935.2022.2138627","url":null,"abstract":"<div><p>Inter-business networks are important components of business dynamics and spatial clusters. Extensive literature proclaims the existence of a variety of networks and benefits of diversity within. However, the literature falls short to exhibit the subsistence of connections between economic activities which invariably contribute towards entry decisions of business establishments. In this paper, using National Establishment Time Series (NETS) database, we analyse establishments entering the region around U.S.-400, largely in Kansas, across a period of 20 years (1992–2011). The establishments are categorised into 20 industrial sectors based on their economic activities. Using spatial econometric models and partial least squares regression, yearly relationships (attraction/impedance) among these categories are estimated. The results provide evidence that relationships amidst pre-existing and new-entrants are indeed significant in business entry. This can be critical in understanding and rationale of freight vehicle flows and guide towards corridor utilisation aspects. The inferred relationships could be used to understand how alterations in one sector may perturb other sectors and to inform about upgrading regional attraction, retention and growth-related policies.</p></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"20 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42258059","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

Pedestrian-injury severity analysis in pedestrian-vehicle crashes with familiar and unfamiliar drivers 熟悉和不熟悉驾驶员的人车碰撞中行人伤害严重程度分析

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2120784

Gang Xue , Huiying Wen

引用次数: 0

A novel model to jointly estimate delay and arrival patterns by using high-resolution signal and detection data 一种利用高分辨率信号和检测数据联合估计延迟和到达模式的新模型

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2047126

Nemanja Dobrota , Aleksandar Stevanovic , Nikola Mitrovic

{"title":"A novel model to jointly estimate delay and arrival patterns by using high-resolution signal and detection data","authors":"Nemanja Dobrota , Aleksandar Stevanovic , Nikola Mitrovic","doi":"10.1080/23249935.2022.2047126","DOIUrl":"10.1080/23249935.2022.2047126","url":null,"abstract":"<div><p>Delay is one of the most important traffic signal performance measures. In coordinated networks, understanding the characteristics of vehicle arrivals is important for coordination purposes and to properly estimate delays. When observed on a cyclical basis in real-time, distinctive arrival patterns can lead to similar delays, which may go undetected by contemporary delay models. This study proposes a set of enhancements to the Incremental Queue Accumulation (IQA) delay model to overcome the limitations of current models. Additionally, this study proposes a hybrid signal performance measure that combines delay and arrival patterns to depict signal performance truthfully. The enhancements to IQA are realised through an algorithm for the identification of distinctive vehicle arrival groups based on high-resolution signal and detection data. The results demonstrate that the proposed model provides reliable delay estimates (MAPE score in range 4.3–11.2%) while reporting a number of traffic arrival characteristics that are not available from the benchmarked models.</p></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"20 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47512314","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

The fixed-cycle traffic-light queue with multiple lanes and temporary blockages 多车道和临时堵塞的固定周期红绿灯排队

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2133980

Rik W. Timmerman , Marko A. A. Boon

引用次数: 0