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Public events, such as concerts and sports games, can be major attractors for large crowds, leading to irregular surges in travel demand.
Language models are few-shot learners
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Public transport planning for the greatest event: the 2004 olympic games
Coutroubas, F., and Tzivelou, N. (2003) · 2003
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Transport and tourism investments for hosting big events: the case of the 2013 mediterranean games in volos, greece
Vougioukas, M., Divane, S., and Thymiakou, G. (2008) · 2008
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A multinomial logit model of mode and arrival time choices for planned special events
Chang, M.-S., and Lu, P.-R. (2013) · 2013
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Special events travel surveys and model development
Kuppam, A., Copperman, R., Lemp, J., Rossi, T., Livshits, V., Vallabhaneni, L., Jeon, K., and Brown, E. (2013) · 2013
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Using data from the web to predict public transport arrivals under special events scenarios
Pereira, F. C., Rodrigues, F., and Ben-Akiva, M. (2015) · 2015
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Forecasting the subway passenger flow under event occurrences with social media
Ni, M., He, Q., and Gao, J. (2016) · 2016
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A bayesian additive model for understanding public transport usage in special events
Rodrigues, F., Borysov, S. S., Ribeiro, B., and Pereira, F. C. (2016) · 2016
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Forecasting short-term subway passenger flow under special events scenarios using multiscale radial basis function networks
Li, Y., Wang, X., Sun, S., Ma, X., and Lu, G. (2017) · 2017
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Sensing and detecting traffic events using geosocial media data: A review
Xu, S., Li, S., and Wen, R. (2018) · 2018
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Subway passenger flow prediction for special events using smart card data
Chen, E., Ye, Z., Wang, C., and Xu, M. (2019) · 2019
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Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach
Rodrigues, F., Markou, I., and Pereira, F. C. (2019) · 2019
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Planned special event travel demand model development
E Ergin, M., and Tezcan, H. (2021) · 2021
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Joint demand prediction for multimodal systems: A multi-task multi-relational spatiotemporal graph neural network approach
Liang, Y., Huang, G., and Zhao, Z. (2022) · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Wei, J., Wang, X., Schuurmans, D., Bosma, M., Xia, F., Chi, E., Le, Q. V., Zhou, D. et al. (2022) · 2022
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Forecasting the subway passenger flow under event occurrences with multivariate disturbances
Xue, G., Liu, S., Ren, L., Ma, Y., and Gong, D. (2022) · 2022
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Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction
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On the opportunities and challenges of foundation models for geospatial artificial intelligence
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