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HKGAIL: Policy shaping via integrating human knowledge with generative adversarial imitation learning

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Peng, Yanfei / Tan, Guozhen / Si, Huaiwei | Wiley | 2023

Keywords: generative adversarial imitation learning , reinforcement learning

Automatic classification of traffic incident's severity using machine learning approaches

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Nguyen, Hoang / Cai, Chen / Chen, Fang | Wiley | 2017

Keywords: learning (artificial intelligence) , active learning , machine learning

Predicting network flows from speeds using open data and transfer learning

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Mahajan, Vishal / Cantelmo, Guido / Rothfeld, Raoul et al. | Wiley | 2023

Keywords: deep learning , transfer learning

Semi‐supervised double duelling broad reinforcement learning in support of traffic service in smart cities

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Tang, Jing / Wei, Xin / Zhao, Jialin et al. | Wiley | 2020

Keywords: Q‐learning network , supervised learning , semisupervised learning , deep reinforcement learning approach , semisupervised double duelling broad reinforcement learning

Dynamic speed harmonization for mixed traffic flow on the freeway using deep reinforcement learning

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Hua, Chengying / Fan, Wei (David) | Wiley | 2023

Keywords: learning (artificial intelligence) , unsupervised learning

Automatic generation of optimal road trajectory for the rescue vehicle in case of emergency on mountain freeway using reinforcement learning approach

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Yang, Jingwen / Wang, Ping / Yuan, Wubei et al. | Wiley | 2021

Keywords: Reinforcement learning

City buses’ future velocity prediction for multiple driving cycle: A meta supervised learning solution

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Cao, Jianfei / He, Hongwen / Cui, Xing | Wiley | 2021

Keywords: Supervised learning

Deep learning methods in transportation domain: a review

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Nguyen, Hoang / Kieu, Le‐Minh / Wen, Tao et al. | Wiley | 2018

Keywords: deep learning systems , deep learning methods , learning (artificial intelligence) , machine learning methods

A parking occupancy prediction method incorporating time series decomposition and temporal pattern attention mechanism

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Ye, Wei / Kuang, Haoxuan / Li, Jun et al. | Wiley | 2024

Keywords: learning (artificial intelligence)

Motion control of unmanned underwater vehicles via deep imitation reinforcement learning algorithm

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Chu, Zhenzhong / Sun, Bo / Zhu, Daqi et al. | Wiley | 2020

Keywords: unmanned underwater vehiclesViadeep imitation reinforcement learning algorithm , deep imitation reinforcement learning , learning (artificial intelligence) , deep reinforcement learning , supervised learning method , imitation learning twin

CenLight: Centralized traffic grid signal optimization via action and state decomposition

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Wu, Jia / Ran, Yunchuan / Lou, Yican et al. | Wiley | 2023

Keywords: Deep reinforcement learning

Combining weather condition data to predict traffic flow: a GRU‐based deep learning approach

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Zhang, Da / Kabuka, Mansur R. | Wiley | 2018

Keywords: learning (artificial intelligence) , GRU‐based deep learning approach , gated recurrent unit‐based deep learning framework

Use of learning classifier systems in microscopic toll plaza simulation models

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Bartin, Bekir | Wiley | 2019

Keywords: XCS learning algorithm , learning classifier systems , multiple learning episodes , learning problem , learning (artificial intelligence) , machine learning technique

Short‐term prediction of traffic flow under incident conditions using graph convolutional recurrent neural network and traffic simulation

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Fukuda, Shota / Uchida, Hideaki / Fujii, Hideki et al. | Wiley | 2020

Keywords: machine‐learning‐based traffic prediction , model learning , learning (artificial intelligence) , deep learning model

Short‐term traffic travel time forecasting using ensemble approach based on long short‐term memory networks

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Jia, Xingli / Zhou, Wuxiao / Yang, Hongzhi et al. | Wiley | 2023

Keywords: learning (artificial intelligence)

Prediction of energy consumption for new electric vehicle models by machine learning

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Fukushima, Arika / Yano, Toru / Imahara, Shuichiro et al. | Wiley | 2018

Keywords: machine learning , learning (artificial intelligence) , transfer learning method

Hybrid model for predicting anomalous large passenger flow in urban metros

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Zheng, Zhihao / Ling, Ximan / Wang, Pu et al. | Wiley | 2020

Keywords: online learning algorithms , learning (artificial intelligence) , machine learning models

A cognition‐inspired trajectory prediction method for vehicles in interactive scenarios

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Xie, Shanshan / Li, Jiachen / Wang, Jianqiang | Wiley | 2023

Keywords: learning‐based method

Deep adaptive learning for safe and efficient navigation of pedestrian dynamics

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Pugh, Nigel / Park, Hyoshin / Derjany, Pierrot et al. | Wiley | 2021

Keywords: Learning in AI (theory)

Transferable driver facial expression recognition based on joint discriminative correlation alignment network with enhanced feature attention

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Chen, Xiaobo / Du, Jian / Deng, Fuwen et al. | Wiley | 2023

Keywords: transfer learning

Deep‐learning architecture to forecast destinations of bus passengers from entry‐only smart‐card data

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Jung, Jaeyoung / Sohn, Keemin | Wiley | 2017

Keywords: deep‐learning architecture , learning (artificial intelligence) , supervised machine‐learning model

Driver distraction detection via multi‐scale domain adaptation network

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Wang, Jing / Wu, ZhongCheng | Wiley | 2023

Keywords: learning (artificial intelligence)

Ant colony optimisation for coloured travelling salesman problem by multi‐task learning

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Dong, Xueshi / Dong, Wenyong / Cai, Yongle | Wiley | 2018

Keywords: multitask cooperative learning approach , learning (artificial intelligence) , cooperative learning

Ensemble classifier for driver's fatigue detection based on a single EEG channel

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Wang, Ping / Min, Jianliang / Hu, Jianfeng | Wiley | 2018

Keywords: ensemble learning method , learning (artificial intelligence)

Human‐centric multimodal deep (HMD) traffic signal control

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Wang, Leizhen / Ma, Zhenliang / Dong, Changyin et al. | Wiley | 2023

Keywords: reinforcement learning

Vision‐based vehicle behaviour analysis: a structured learning approach via convolutional neural networks

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Mou, Luntian / Xie, Haitao / Mao, Shasha et al. | Wiley | 2020

Keywords: transfer learning , multitask learning , learning (artificial intelligence) , structured learning approach

Adaptive traffic signal control system using composite reward architecture based deep reinforcement learning

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Jamil, Abu Rafe Md / Ganguly, Kishan Kumar / Nower, Naushin | Wiley | 2020

Keywords: deep learning (artificial intelligence) , deep reinforcement learning , fast learning , stable learning

Dynamic traffic signal control using mean field multi‐agent reinforcement learning in large scale road‐networks

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Hu, Tianfeng / Hu, Zhiqun / Lu, Zhaoming et al. | Wiley | 2023

Keywords: learning (artificial intelligence)

Machine‐learning methodology for energy efficient routing

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Masikos, Michail / Demestichas, Konstantinos / Adamopoulou, Evgenia et al. | Wiley | 2014

Keywords: machine learning methodology , machine learning functionality , learning (artificial intelligence)

Ensemble machine learning based driving range estimation for real‐world electric city buses by considering battery degradation levels

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Wang, Yongxing / Lu, Chaoru / Bi, Jun et al. | Wiley | 2021

Keywords: Machine learning (artificial intelligence)

Accounting for travel time reliability, trip purpose and departure time choice in an agent‐based dynamic toll pricing approach

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Li, Wan / Cheng, Danhong / Bian, Ruijie et al. | Wiley | 2018

Keywords: driver learning process

LSTM‐based deep learning framework for adaptive identifying eco‐driving on intelligent vehicle multivariate time‐series data

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Yan, Lixin / Jia, Le / Lu, Shan et al. | Wiley | 2024

Keywords: deep learning

Driving policies of V2X autonomous vehicles based on reinforcement learning methods

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Wu, Zhenyu / Qiu, Kai / Gao, Hongbo | Wiley | 2020

Keywords: learning (artificial intelligence) , OpenAI reinforcement learning framework

Fatigue driving detection model based on multi‐feature fusion and semi‐supervised active learning

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Li, Xu / Hong, Lin / Wang, Jian‐chun et al. | Wiley | 2019

Keywords: semisupervised active learning algorithm , learning (artificial intelligence)

Rule‐constrained reinforcement learning control for autonomous vehicle left turn at unsignalized intersection

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Cai, Yingfeng / Zhou, Rong / Wang, Hai et al. | Wiley | 2023

Keywords: learning (artificial intelligence)

Deep reinforcement‐learning‐based driving policy for autonomous road vehicles

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Makantasis, Konstantinos / Kontorinaki, Maria / Nikolos, Ioannis | Wiley | 2020

Keywords: derived reinforcement learning policy , learning (artificial intelligence) , deep reinforcement‐learning‐based

Predictive model for battery life in IoT networks

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Reddy Maddikunta, Praveen Kumar / Srivastava, Gautam / Reddy Gadekallu, Thippa et al. | Wiley | 2020

Keywords: learning (artificial intelligence)

Depth estimation for advancing intelligent transport systems based on self‐improving pyramid stereo network

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Tian, Yanling / Du, Yubo / Zhang, Qieshi et al. | Wiley | 2020

Keywords: learning (artificial intelligence) , deep learning model , online learning

Hybrid strategy for traffic light detection by combining classical and self‐learning detectors

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Gao, Feng / Wang, Caimei | Wiley | 2020

Keywords: unsupervised learning , self‐learning algorithms , self‐learning detectors , learning features

Hierarchical reinforcement learning for self‐driving decision‐making without reliance on labelled driving data

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Duan, Jingliang / Eben Li, Shengbo / Guan, Yang et al. | Wiley | 2020

Keywords: learning (artificial intelligence) , supervised learning , hierarchical reinforcement learning

Speed harmonisation and merge control using connected automated vehicles on a highway lane closure: a reinforcement learning approach

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Ko, Byungjin / Ryu, Seunghan / Park, Byungkyu Brian et al. | Wiley | 2020

Keywords: reinforcement learning algorithm , learning (artificial intelligence) , reinforcement learning approach

How to pay less: a location‐specific approach to predict dynamic prices in ride‐on‐demand services

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Guo, Suiming / Chen, Chao / Liu, Yaxiao et al. | Wiley | 2018

Keywords: learning (artificial intelligence) , ensemble learning

Emotional temporal difference Q ‐learning signals in multi‐agent system cooperation: real case studies

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Abdi, Javad / Moshiri, Behzad / Abdulhai, Baher | Wiley | 2013

Keywords: optimal TD Q‐learning method performance improvement , emotional temporal difference Q‐learning signals , learning (artificial intelligence) , reinforcement learning

Lane detection method based on lane structural analysis and CNNs

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Ye, Yang Yang / Hao, Xiao Li / Chen, Hou Jin | Wiley | 2018

Keywords: learning (artificial intelligence) , machine learning method

Chinese vehicle license plate recognition using kernel‐based extreme learning machine with deep convolutional features

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Yang, Yun / Li, Donghai / Duan, Zongtao | Wiley | 2018

Keywords: kernel‐based extreme learning machine , learning (artificial intelligence)

LSTM network: a deep learning approach for short‐term traffic forecast

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Zhao, Zheng / Chen, Weihai / Wu, Xingming et al. | Wiley | 2017

Keywords: LSTM deep‐learning approach , learning (artificial intelligence)

GSA‐ELM: A hybrid learning model for short‐term traffic flow forecasting

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Cui, Zhihan / Huang, Boyu / Dou, Haowen et al. | Wiley | 2022

Keywords: Machine learning (artificial intelligence)

Value‐based deep reinforcement learning for adaptive isolated intersection signal control

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Wan, Chia‐Hao / Hwang, Ming‐Chorng | Wiley | 2018

Keywords: value‐based deep reinforcement learning , deep Q‐learning neural network , learning (artificial intelligence) , machine learning‐based framework

Deep reinforcement learning based conflict detection and resolution in air traffic control

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Wang, Zhuang / Li, Hui / Wang, Junfeng et al. | Wiley | 2019

Keywords: learning (artificial intelligence) , deep reinforcement learning

Extensive exploration of comprehensive vehicle attributes using D‐CNN with weighted multi‐attribute strategy

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Yan, Zhuo / Feng, Youji / Cheng, Cheng et al. | Wiley | 2018

Keywords: multitask learning , learning (artificial intelligence)