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Yudong Guo, Fei Yang, Siyuan Xie & Zhenxing Yao. (2024) Activity-based model based on long short-term memory network and mobile phone signalling data. Transportmetrica A: Transport Science 20:3.
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Anil NP Koushik, M Manoj, N Nezamuddin & AP Prathosh. (2023) Testing and enhancing spatial transferability of artificial neural networks based travel behavior models. Transportation Letters 15:9, pages 1083-1094.
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Suchismita Nayak & Debapratim Pandit. (2023) A critical review of activity participation decision: a key component of activity-based travel demand models. International Journal of Urban Sciences 27:4, pages 670-703.
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Roopa Ravish, Shanta Rangaswamy, Arpitha V & Vasuprada U. (2023) User preference-based intelligent road route recommendation using SARSA and dynamic programming. Journal of Control and Decision 10:3, pages 443-453.
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Milad Haghani & Michiel C. J. Bliemer. (2023) Emerging trends and influential outsiders of transportation science. Transportation Letters 15:5, pages 386-422.
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Yiling Deng. (2022) Application of machine learning with a surrogate model to explore seniors’ daily activity patterns. Transportation Letters 14:9, pages 972-982.
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Xiao Wen, Yuanchang Xie, Liming Jiang, Ziyuan Pu & Tingjian Ge. (2021) Applications of machine learning methods in traffic crash severity modelling: current status and future directions. Transport Reviews 41:6, pages 855-879.
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Articles from other publishers (51)
Jingwen Xiong, Lunhui Xu, Zhuoyan Wei, Pan Wu, Qianwen Li & Mingyang Pei. (2024) Identifying, Analyzing, and forecasting commuting patterns in urban public Transportation: A review. Expert Systems with Applications 249, pages 123646.
Crossref
Crossref
Kapil Kumar Meena, Deepak Bairwa & Amit Agarwal. (2024) A machine learning approach for unraveling the influence of air quality awareness on travel behavior. Decision Analytics Journal 11, pages 100459.
Crossref
Crossref
Li Tang, Chuanli Tang, Qi Fu & Changxi Ma. (2024) Predicting travel mode choice with a robust neural network and Shapley additive explanations analysis. IET Intelligent Transport Systems.
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Crossref
Lei Gao, Haozhe Huang, Jianhong Ye & Daoge Wang. (2024) Activity type detection of mobile phone data based on self-training: Application of the teacher–student cycling model. Transportation Research Part C: Emerging Technologies 161, pages 104550.
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Crossref
F.R. Ashik, A.I.Z. Sreezon, M.H. Rahman, N.M. Zafri & S.M. Labib. (2024) Built environment influences commute mode choice in a global south megacity context: Insights from explainable machine learning approach. Journal of Transport Geography 116, pages 103828.
Crossref
Crossref
Yusha Hu, Yi Man, Tao Shi, Jianzhao Zhou, Zhiqiang Zeng & Jingzheng Ren. (2024) Fuel composition forecasting for waste tires pyrolysis process based on machine learning methods. Fuel 362, pages 130789.
Crossref
Crossref
Anil Koushik, M. Manoj & N. Nezamuddin. (2024) SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models. Transportation in Developing Economies 10:1.
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Crossref
Parisa Zare, Simone Leao, Ori Gudes & Christopher Pettit. (2024) A simple agent-based model for planning for bicycling: Simulation of bicyclists' movements in urban environments. Computers, Environment and Urban Systems 108, pages 102059.
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Å. Jevinger, C. Zhao, J. A. Persson & P. Davidsson. (2023) Artificial intelligence for improving public transport: a mapping study. Public Transport 16:1, pages 99-158.
Crossref
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Ganmin Yin, Zhou Huang, Chen Fu, Shuliang Ren, Yi Bao & Xiaolei Ma. (2024) Examining active travel behavior through explainable machine learning: Insights from Beijing, China. Transportation Research Part D: Transport and Environment 127, pages 104038.
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Yuchen Song, Dawei Li, Zhenliang Ma, Dongjie Liu & Tong Zhang. (2024) A state-based inverse reinforcement learning approach to model activity-travel choices behavior with reward function recovery. Transportation Research Part C: Emerging Technologies 158, pages 104454.
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Crossref
Zhongyuan Zhou, Ting (Tina) Li, Chang Liu, Yang Zhou, Ping Li & Si Wen. (2023) Why do social media users follow tourism-related posts? Roles of bloggers and posts in trip planning. Industrial Management & Data Systems 123:12, pages 3080-3108.
Crossref
Crossref
Hamed Naseri, E.O.D. Waygood, Bobin Wang & Zachary Patterson. (2023) Interpretable Machine Learning Approach to Predicting Electric Vehicle Buying Decisions. Transportation Research Record: Journal of the Transportation Research Board 2677:12, pages 704-717.
Crossref
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José E. Leal & Victor Parada. (2023) Predicting modal choice for urban transport using an algebraic equation. Transportation Research Interdisciplinary Perspectives 22, pages 100947.
Crossref
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Ning Zhang, Yiping Wu, Jian Rong, Juan Shao, Jiayuan Chen & Chenjing Zhou. (2023) Analysis of truckers’ intentions in choosing freeways or parallel national and provincial roads. Research in Transportation Economics 101, pages 101350.
Crossref
Crossref
Mohammad Irshaid & Sameer Abu-Eisheh. (2023) Application of adaptive neuro-fuzzy inference system in modelling home-based trip generation. Ain Shams Engineering Journal 14:11, pages 102523.
Crossref
Crossref
Enhui Chen, Yang Liu & Min Yang. (2023) Revealing Senior Mobility Patterns and Activities in Urban Transit Systems. IEEE Transactions on Intelligent Transportation Systems 24:10, pages 11424-11437.
Crossref
Crossref
Annie Young Song, Seunghyeon Lee & S.C. Wong. (2023) A machine learning approach to analyzing spatiotemporal impacts of mobility restriction policies on infection rates. Transportation Research Part A: Policy and Practice 176, pages 103795.
Crossref
Crossref
Zhitao Li, Fan Gao, Chenxi Xiao & Jinjun Tang. (2023) The effects of the urban built environment on public transport ridership: similarities and differences. Travel Behaviour and Society 33, pages 100630.
Crossref
Crossref
Anil Koushik, M Manoj, N Nezamuddin & AP Prathosh. (2023) Activity Schedule Modeling Using Machine Learning. Transportation Research Record: Journal of the Transportation Research Board 2677:8, pages 1-23.
Crossref
Crossref
Shuhui Gong, Xiangrui Dong, Kaiqi Wang, Bingli Lei, Zizhao Jia, Jiaxin Qin, Chris Roadknight, Yu Liu & Rui Cao. (2023) Agent-based modelling with geographically weighted calibration for intra-urban activities simulation using taxi GPS trajectories. International Journal of Applied Earth Observation and Geoinformation 122, pages 103368.
Crossref
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Kailai Wang, Zhenhua Chen, Long Cheng, Pengyu Zhu, Jian Shi & Zheyong Bian. (2023) Integrating spatial statistics and machine learning to identify relationships between e-commerce and distribution facilities in Texas, US. Transportation Research Part A: Policy and Practice 173, pages 103696.
Crossref
Crossref
Tulio Silveira-Santos, Anestis Papanikolaou, Thais Rangel & Jose Manuel Vassallo. (2023) Understanding and Predicting Ride-Hailing Fares in Madrid: A Combination of Supervised and Unsupervised Techniques. Applied Sciences 13:8, pages 5147.
Crossref
Crossref
Manoj Chandrabose, Abdur Rahim Mohammad Forkan, Takumi Abe, Neville Owen & Takemi Sugiyama. (2023) Joint associations of environmental and sociodemographic attributes with active and sedentary travel. Transportation Research Part D: Transport and Environment 116, pages 103643.
Crossref
Crossref
Faizeh Hatami, Md. Mokhlesur Rahman, Behnam Nikparvar & Jean-Claude Thill. (2023) Non-Linear Associations Between the Urban Built Environment and Commuting Modal Split: A Random Forest Approach and SHAP Evaluation. IEEE Access 11, pages 12649-12662.
Crossref
Crossref
Jiaqi Zeng, Yi Yu, Yong Chen, Di Yang, Lei Zhang & Dianhai Wang. (2023) Trajectory-as-a-Sequence: A novel travel mode identification framework. Transportation Research Part C: Emerging Technologies 146, pages 103957.
Crossref
Crossref
Niaz Mahmud, MD Jahedul Alam & Muhammad Ahsanul Habib. (2023) Modelling of Activity Concentrations Using Machine Learning Technique. Procedia Computer Science 220, pages 462-469.
Crossref
Crossref
Aditya Saxena. (2023) Assessing the factors affecting the perceived crossing speed of pedestrians and investigating the direct and indirect effects of crash risk perception on perceived crossing speed. Journal of Transport & Health 28, pages 101541.
Crossref
Crossref
Pranta Roy, Jahanggir Hossain Setu, Afrin Nahar Binti, Farjana Yeasmin Koly & Nusrat Jahan. 2023. Intelligent Communication Technologies and Virtual Mobile Networks. Intelligent Communication Technologies and Virtual Mobile Networks
99
110
.
Tutku Tuncalı Yaman & Hülya Başeğmez. 2023. Intelligent Systems in Digital Transformation. Intelligent Systems in Digital Transformation
351
371
.
Elnaz Yousefzadeh Barri, Steven Farber, Hadi Jahanshahi & Eda Beyazit. (2022) Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms. Journal of Transport Geography 105, pages 103482.
Crossref
Crossref
Alta de Waal & Johan W. Joubert. (2022) Explainable Bayesian networks applied to transport vulnerability. Expert Systems with Applications 209, pages 118348.
Crossref
Crossref
Lauren McMillan & Liz Varga. (2022) A review of the use of artificial intelligence methods in infrastructure systems. Engineering Applications of Artificial Intelligence 116, pages 105472.
Crossref
Crossref
Mohammad Tamim Kashifi, Arshad Jamal, Mohammad Samim Kashefi, Meshal Almoshaogeh & Syed Masiur Rahman. (2022) Predicting the travel mode choice with interpretable machine learning techniques: A comparative study. Travel Behaviour and Society 29, pages 279-296.
Crossref
Crossref
Hamid Mirzahossein, Ali Bakhtiari, Navid Kalantari & Xia Jin. (2022) Investigating mandatory and non-mandatory trip patterns based on socioeconomic characteristics and traffic analysis zone features using deep neural networks. Computational Urban Science 2:1.
Crossref
Crossref
Marimuthu Venkadavarahan & Sankaran Marisamynathan. (2022) Development of urban freight trip generation models concerning establishment classification process for a developing country. International Journal of Transportation Science and Technology 11:3, pages 603-618.
Crossref
Crossref
Quynh Thi Nhu Phan, Manik Mondal & Sano Kazushi. (2022) Application of LSTM and ANN Models for Traffic Time Headway Prediction in Expressway Tollgates. Application of LSTM and ANN Models for Traffic Time Headway Prediction in Expressway Tollgates.
Jiaqi Zeng, Guozheng Zhang, Youwei Hu & Dianhai Wang. (2022) Addressing robust travel mode identification with individual trip‐chain trajectory noise reduction. IET Intelligent Transport Systems.
Crossref
Crossref
Tonmoy Paul, Rohit Chakraborty & Nafis Anwari. (2022) Impact of COVID-19 on daily travel behaviour: a literature review. Transportation Safety and Environment 4:2.
Crossref
Crossref
Meng Meng, Trinh Dinh Toan, Yiik Diew Wong & Soi Hoi Lam. (2022) Short-Term Travel-Time Prediction using Support Vector Machine and Nearest Neighbor Method. Transportation Research Record: Journal of the Transportation Research Board 2676:6, pages 353-365.
Crossref
Crossref
Tulio Silveira-Santos, Jose Manuel Vassallo & Ewerton Torres. (2022) Using machine learning models to predict the willingness to carry lightweight goods by bike and kick-scooter. Transportation Research Interdisciplinary Perspectives 13, pages 100568.
Crossref
Crossref
Mohammad Mehdi Yaghoubi, Amir Abbas Rassafi & Hamid Mirzahossein. (2022) Activity-based travel behavior modeling of dormitory students. Case Studies on Transport Policy 10:1, pages 606-615.
Crossref
Crossref
Nur Fahriza Mohd. Ali, Ahmad Farhan Mohd. Sadullah, Anwar PP Abdul Majeed, Mohd Azraai Mohd. Razman, Muhammad Aizzat Zakaria & Ahmad Fakhri Ab. Nasir. (2021) Travel Mode Choice Modeling: Predictive Efficacy between Machine Learning Models and Discrete Choice Model. The Open Transportation Journal 15:1, pages 241-255.
Crossref
Crossref
Valentino Servizi, Francisco C. Pereira, Marie K. Anderson & Otto A. Nielsen. (2021) Transport behavior-mining from smartphones: a review. European Transport Research Review 13:1.
Crossref
Crossref
Aya Hasan Alkhereibi, Shahram Tahmasseby, Semira Mohammed & Deepti Muley. (2021) Blue collar laborers’ travel pattern recognition: Machine learning classifier approach. Transportation Research Interdisciplinary Perspectives 12, pages 100506.
Crossref
Crossref
Wenxiao Wang, Yi Zhang, Chunli Zhao, Xiaofei Liu, Xumei Chen, Chaoyang Li, Tao Wang, Jiani Wu & Lanjing Wang. (2021) Nonlinear Associations of the Built Environment with Cycling Frequency among Older Adults in Zhongshan, China. International Journal of Environmental Research and Public Health 18:20, pages 10723.
Crossref
Crossref
Gozde Ozonder & Eric J. Miller. (2021) Longitudinal microeconomic and machine learning models of skeletal activity generation. Travel Behaviour and Society 23, pages 40-64.
Crossref
Crossref
Kun Tan, Weibo Ma, Lihan Chen, Huimin Wang, Qian Du, Peijun Du, Bokun Yan, Rongyuan Liu & Haidong Li. (2021) Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning. Journal of Hazardous Materials 401, pages 123288.
Crossref
Crossref
K. Darshana Abeyrathna, Sinziana Rasca, Karin Markvica & Ole-Christoffer Granmo. 2021. Smart Transportation Systems 2021. Smart Transportation Systems 2021
27
37
.
M. Venkadavarahan, Celestin Thivya Raj & Sankaran Marisamynathan. (2020) Development of freight travel demand model with characteristics of vehicle tour activities. Transportation Research Interdisciplinary Perspectives 8, pages 100241.
Crossref
Crossref
Jiaqi Zeng, Yi Yu, Yong Chen, Di Yang, Lei Zhang & Dianhai Wang. (2022) Trajectory-as-A-Sequence: A Novel Travel Mode Identification Framework. SSRN Electronic Journal.
Crossref
Crossref