Signalised intersection control in a connected vehicle environment: User throughput maximisation strategy (English)
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In:
IET Intelligent Transport Systems
;
15
, 3
;
463-482
;
2021
- Article (Journal) / Electronic Resource
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Title:Signalised intersection control in a connected vehicle environment: User throughput maximisation strategy
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Contributors:
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Published in:IET Intelligent Transport Systems ; 15, 3 ; 463-482
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Publisher:
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Publication date:2021-03-01
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Size:20 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 15, Issue 3
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 359
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City buses’ future velocity prediction for multiple driving cycle: A meta supervised learning solutionCao, Jianfei / He, Hongwen / Cui, Xing et al. | 2021
- 371
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Ego‐lane index‐aware vehicular localisation using the DeepRoad Network for urban environmentsLee, Soomok / Choi, Jinwoo / Seo, Seung‐Woo et al. | 2021
- 387
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A specific perspective: Subway driver behaviour recognition using CNN and time‐series diagramHuang, Shize / Yang, Lingyu / Chen, Wei / Tao, Ting / Zhang, Bingjie et al. | 2021
- 396
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Social graph convolutional LSTM for pedestrian trajectory predictionZhou, Yutao / Wu, Huayi / Cheng, Hongquan / Qi, Kunlun / Hu, Kai / Kang, Chaogui / Zheng, Jie et al. | 2021
- 406
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Effectiveness of incentives offered by mobile phone app to encourage cycling: A long‐term studyHuang, Bingyuan / Thomas, Tom / Groenewolt, Benjamin / Claasen, Yorick / van Berkum, Eric et al. | 2021
- 423
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Impact of connected vehicle environment on driving performance: A case of an extra‐long tunnel scenarioChang, Xin / Rong, Jian / Li, Haijian / Wu, Yiping / Zhao, Xiaohua et al. | 2021
- 432
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Short‐term railway passenger demand forecast using improved Wasserstein generative adversarial nets and web search termsFeng, Fenling / Zhang, Jiaqi / Liu, Chengguang / Li, Wan / Jiang, Qiwei et al. | 2021
- 446
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Deep tree neural network for multiple‐time‐step prediction of short‐term speed and confidence estimationTao, Yanyun / Wang, Xiang / Zheng, Jianying / E, Wenjuan / Zhao, Po / Meng, Shiwei et al. | 2021
- 463
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Signalised intersection control in a connected vehicle environment: User throughput maximisation strategyMohammadi, Roozbeh / Roncoli, Claudio / Mladenović, Miloš N. et al. | 2021