Can language models be used for real-world urban-delivery route optimization?

Hovsepyan, 2020, Combining predictive coding and neural oscillations enables online syllable recognition in natural speech, Nat. Commun., 11, 3117, 10.1038/s41467-020-16956-5 Lu, 2022, Decoding lip language using triboelectric sensors with deep learning, Nat. Commun., 13, 1401, 10.1038/s41467-022-29083-0 Popel, 2020, Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals, Nat. Commun., 11, 4381, 10.1038/s41467-020-18073-9 Makin, 2020, Machine translation of cortical activity to text with an encoder–decoder framework, Nat. Neurosci., 23, 575, 10.1038/s41593-020-0608-8 Schramowski, 2022, Large pre-trained language models contain human-like biases of what is right and wrong to do, Nat. Mach. Intell., 4, 258, 10.1038/s42256-022-00458-8 Ive, 2020, Generation and evaluation of artificial mental health records for natural language processing, NPJ Digit. Med., 3, 69, 10.1038/s41746-020-0267-x Webb, 2023, Emergent analogical reasoning in large language models, Nat. Human Behav., 1 Ferruz, 2022, Controllable protein design with language models, Nat. Mach. Intell., 4, 521, 10.1038/s42256-022-00499-z Huang, 2023, Current progress, challenges, and future perspectives of language models for protein representation and protein design, Innovation, 4 Liu, 2022, Behavior2vector: Embedding users’ personalized travel behavior to Vector, IEEE Trans. Intell. Transport. Syst., 23, 8346, 10.1109/TITS.2021.3078229 Liu, 2021, Exploring a large-scale multi-modal transportation recommendation system, Transport. Res. C Emerg. Technol., 126, 10.1016/j.trc.2021.103070 Zhang, 2022, Generative adversarial network based heuristics for sampling-based path planning, IEEE/CAA J. Autom. Sinica, 9, 64, 10.1109/JAS.2021.1004275 Yue, 2022, Dynamic scheduling and path planning of automated guided vehicles in automatic container terminal, IEEE/CAA J. Autom. Sinica, 9, 2005, 10.1109/JAS.2022.105950 Zhao, 2022, Global path planning of unmanned vehicle based on fusion of A∗ algorithm and Voronoi field, J. intell. connect. veh., 5, 250, 10.1108/JICV-01-2022-0001 Zhang, 2021, Optimal operating strategy of short turning lines for the battery electric bus system, Commun. Trans. Res., 1 Yin, 2023, Reliable Global Path Planning of Off-Road Autonomous Ground Vehicles Under Uncertain Terrain Conditions, IEEE Trans. Intell. Veh., 1 Liao, 2013, Incorporating space–time constraints and activity-travel time profiles in a multi-state supernetwork approach to individual activity-travel scheduling, Transp. Res. Part B Methodol., 55, 41, 10.1016/j.trb.2013.05.002 Easa, 1985, Shortest route algorithm with movement prohibitions, Transp. Res. Part B Methodol., 19, 197, 10.1016/0191-2615(85)90003-7 Atz, 2021, Geometric deep learning on molecular representations, Nat. Mach. Intell., 3, 1023, 10.1038/s42256-021-00418-8 Tsai, 2020, Learning molecular dynamics with simple language model built upon long short-term memory neural network, Nat. Commun., 11, 5115, 10.1038/s41467-020-18959-8 Pan, 2023, Large language model for molecular chemistry, Nat. Comput. Sci., 3, 5, 10.1038/s43588-023-00399-1 Born, 2023, Regression Transformer enables concurrent sequence regression and generation for molecular language modelling, Nat. Mach. Intell., 5, 432, 10.1038/s42256-023-00639-z Moret, 2023, Leveraging molecular structure and bioactivity with chemical language models for de novo drug design, Nat. Commun., 14, 114, 10.1038/s41467-022-35692-6 Ross, 2022, Large-scale chemical language representations capture molecular structure and properties, Nat. Mach. Intell., 4, 1256, 10.1038/s42256-022-00580-7 Kuenneth, 2023, polyBERT: a chemical language model to enable fully machine-driven ultrafast polymer informatics, Nat. Commun., 14, 4099, 10.1038/s41467-023-39868-6 Ferruz, 2022, ProtGPT2 is a deep unsupervised language model for protein design, Nat. Commun., 13, 4348, 10.1038/s41467-022-32007-7 Jiang, 2023, Deciphering “the language of nature”: A transformer-based language model for deleterious mutations in proteins, Innovation, 4 Hie, 2023, Efficient evolution of human antibodies from general protein language models, Nat. Biotechnol., 10.1038/s41587-023-01763-2 Brandes, 2023, Genome-wide prediction of disease variant effects with a deep protein language model, Nat. Genet., 1 Manica, 2019, Context-specific interaction networks from vector representation of words, Nat. Mach. Intell., 1, 181, 10.1038/s42256-019-0036-1 Bengio, 2021, Machine learning for combinatorial optimization: a methodological tour d’horizon, Eur. J. Oper. Res., 290, 405, 10.1016/j.ejor.2020.07.063 Bengio, 2003, A Neural Probabilistic Language Model, J. Mach. Learn. Res., 3, 1137 Markov, 1960 Mikolov, 2013, Efficient estimation of word representations in vector space, arXiv Mikolov, 2013, Distributed representations of words and phrases and their compositionality, NeurIPS, 26 Ben-Akiva, 1985 HGomaa, 2013, A survey of text similarity approaches, Int. J. Comput. Appl., 68, 13 Laidler, 1965 Bellman, 1966, Dynamic programming, Science, 153, 34, 10.1126/science.153.3731.34 Sutton, 2018 Merchán, 2022, 2021 Amazon last mile routing research challenge: Data set, Transport. Sci., 10.1287/trsc.2022.1173 Ortúzar, 2021, Future transportation: Sustainability, complexity and individualization of choices, Commun. Trans. Res., 1, e100010, 10.1016/j.commtr.2021.100010 Lin, 2023, How generative adversarial networks promote the development of intelligent transportation systems: A survey, IEEE/CAA J. Autom. Sinica, 10, 1781, 10.1109/JAS.2023.123744 Sun, 2023, A parallel emission regulatory framework for intelligent transportation systems and smart cities, IEEE Trans. Intell. Veh., 8, 1017, 10.1109/TIV.2023.3246045 Lin, 2023, City 5.0: Towards Spatial Symbiotic Intelligence via DAOs and Parallel Systems, IEEE Trans. Intell. Veh., 8, 3767, 10.1109/TIV.2023.3298903 Xu, 2022, The status, challenges, and trends: an interpretation of technology roadmap of intelligent and connected vehicles in China (2020), J. intell. connect. veh., 5, 1, 10.1108/JICV-07-2021-0010 Olovsson, 2022, Future connected vehicles: Communications demands, privacy and cyber-security, Commun. Trans. Res., 2