期刊全名
Transportmetrica A-Transport Science
最新影响因子
3.1年均收录文章
48期刊简称
TRANSPORTMETRICA A来源地区
PEOPLES R CHINA详细类别
TRANSPORTATION SCIENCE & TECHNOLOGY运输科技
4区
中科院杂志分区
工程技术(3区)是否OA开放访问
No投稿难度
出版周期
投稿链接
点击投稿杂志主页
点击查看杂志主页自引率
29.00%类别
TRANSPORTATION SCIENCE & TECHNOLOGY-coverage
Science Citation Index Expanded审稿周期
Transportmetrica A-Transport Science是一本专注于交通科学领域的国际学术期刊，ISSN号为2324-9935，由英国Taylor & Francis出版社出版，出版地为英国，出版周期为每年10期。该期刊的影响因子根据年份有所不同，具体数值需查阅最新JCR报告，目前为非开放获取（非OA）期刊，被SCI收录，中科院分区情况需参考最新分区表。该期刊的发文特点集中于交通规划、交通工程、交通管理与政策等研究领域，尤其注重定量分析和模型构建。其研究领域涵盖交通流量理论、智能交通系统、交通经济学及可持续交通等。杂志的质量较高，以严格的同行评审和理论深度著称，但投稿竞争激烈，审稿周期可能较长，且对方法创新要求较高，存在一定的拒稿风险。总体而言，该期刊是交通科学领域内具有较高学术影响力的权威刊物。
Optimising the efficiency of logistics using hybrid truck-drone collaborative delivery
2026-05-13T10:18:04Z
A physics-informed approach for vehicle trajectory-based chaos estimation incorporating heterogeneity, lane liberty and connected autonomous vehicles
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Incorporating spatial effects into Bayesian extreme value models for network crash risk estimation
2026-05-09T17:15:38Z
SG-CADVLM: a context-aware decoding powered vision-language model for safety-critical scenario generation in autonomous driving
2026-05-08T20:46:20Z
A learning and model-based hybrid-driven approach for safety control of autonomous vehicles under mixed traffic merging scenarios
2026-05-08T12:53:42Z
Investigating evolutionary modes of car-following behaviour: insights from vehicle trajectory data and random parameters multinomial logit model with heterogeneity in means
2026-05-06T06:46:39Z
Coordination and merging for virtual coupling trains at junction: A robust and stable MPC method with virtual pilot injection
2026-04-27T07:20:50Z
An adaptive transfer learning framework for real-time detection and prediction of anomalous returning passenger flow in railway stations
2026-04-26T19:18:27Z
Dynamic structural analyses of urban construction waste transportation networks
2026-04-26T19:09:56Z
Imputing missing trip purposes in smartphone-based travel surveys using Bayesian posterior analysis
2026-04-26T19:04:49Z
On the integrated morning-evening commute with shared and privately owned autonomous vehicles
2026-04-18T07:19:31Z
An improved safety potential field model to predict risk-aware-based work zone merging behaviour
2026-04-13T06:25:03Z
Solving high-speed rolling stock planning with an improved LSTM-PPO reinforcement learning algorithm
2026-04-13T06:21:29Z
On any Sunday and beyond: random parameters analysis of older motorcyclist injury severity
2026-04-10T11:25:57Z
Robust control approach for virtually coupled train set with uncertain communication
2026-04-09T05:36:46Z
Multi-modal traffic flow joint prediction with a multi-source information knowledge graph
2026-04-08T05:59:53Z
Design and optimisation of emergency bus shuttle services under urban rail transit disruptions
2026-04-06T13:58:28Z
CMAD: a cooperative multi-agent framework leveraging transformer-contextual q-networks for unsupervised traffic anomaly detection
2026-04-03T07:55:41Z
Data-driven assessment for the predictability of demand responsive transit
2026-04-02T05:34:16Z
