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Leveraging recent advances in generative AI, multi-agent systems are increasingly being developed to enhance the functionality and efficiency of smart city applications.
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Integrating equilibrium assignment in game-theoretic approach to measure many-to-many transportation network vulnerability, in: 2011 IEEE International Conference on Technologies for Homeland Security (HST), IEEE. pp. 351–357
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Smart parking system (sps) architecture using ultrasonic detector
Kianpisheh, A., Mustaffa, N., Limtrairut, P., Keikhosrokiani, P., 2012 · 2012
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A physics-informed deep learning paradigm for car-following models
Mo, Z., Di, X., Shi, R., 2020 · 2012
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Comparing ant colony optimization and genetic algorithm approaches for solving traffic signal coordination under oversaturation conditions
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Perimeter and boundary flow control in multi-reservoir heterogeneous networks
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The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks
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Stochastic cell transmission model for traffic network with demand and supply uncertainties
Zhong, R., Sumalee, A., Pan, T., Lam, W.H.K., 2013 · 2013
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Estimate benefits of crowdsourced data from social media
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Vehicle-to-vehicle communications: readiness of V2V technology for application
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A driver-centric green light optimal speed advisory (dc-glosa) for improving road traffic congestion at urban intersections
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A review of the effect of traffic and weather characteristics on road safety
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New bayesian combination method for short-term traffic flow forecasting
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Multi-agent system applications in healthcare: current technology and future roadmap
Shakshuki, E., Reid, M., 2015 · 2015
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Marginal cost congestion pricing based on the network fundamental diagram
Simoni, M.D., Pel, A.J., Waraich, R.A., Hoogendoorn, S.P., 2015 · 2015
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Equilibrium analysis and route guidance in large-scale networks with mfd dynamics
Yildirimoglu, M., Ramezani, M., Geroliminis, N., 2015 · 2015
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Big data for social transportation
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Real-time path planning to prevent traffic jam through an intelligent transportation system, in: 2016 IEEE symposium on computers and communication (ISCC), IEEE. pp. 726–731
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Real-time traffic network state estimation and prediction with decision support capabilities: Application to integrated corridor management
Hashemi, H., Abdelghany, K.F., 2016 · 2016
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Optimal speed advisory for connected vehicles in arterial roads and the impact on mixed traffic
Wan, N., Vahidi, A., Luckow, A., 2016 · 2016
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Dynamic potential-model-based feature for lane change prediction
Woo, H., Ji, Y., Kono, H., Tamura, Y., Kuroda, Y., Sugano, T., Yamamoto, Y., Yamashita, A., Asama, H., 2016 · 2016
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An extended signal control strategy for urban network traffic flow
Yan, F., Tian, F., Shi, Z., 2016 · 2016
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Vehicle-to-Infrastructure Program Safety Applications Project
Parikh, J., Abubakr, M., Adla, R., Bitar, G., Goudy, R., Kailas, A., Kelkar, A., Meier, J., Sakakida, M., Vijayakumar, V., et al., 2017 · 2017
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A survey of the connected vehicle landscape—architectures, enabling technologies, applications, and development areas
Siegel, J.E., Erb, D.C., Sarma, S.E., 2017 · 2017
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Singh, G., Sivaraman, V., Hard, E., 2022 · 2022
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Hybrid recurrent neural network modeling for traffic delay prediction at signalized intersections along an urban arterial
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Arima model and few-shot learning for vehicle speed time series analysis and prediction
Wang, Y., Yu, C., Hou, J., Chu, S., Zhang, Y., Zhu, Y., 2022c · 2022
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Intelligent cognition of traffic loads on road bridges: From measurement to simulation–a review
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A taxonomy for planning and designing smart mobility services
Cledou, G., Estevez, E., Barbosa, L.S., 2018 · 2018
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Survey of neural network-based models for short-term traffic state prediction
Do, L.N.N., Taherifar, N., Vu, H.L., 2018 · 2018
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Guerrero-Ibáñez, J., Zeadally, S., Contreras-Castillo, J., 2018 · 2018
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Li, W., Ban, X., 2018 · 2018
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Mandhare, P.A., Kharat, V., Patil, C., 2018 · 2018
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A new approach to green light optimal speed advisory (glosa) systems for high-density traffic flowe, in: 2018 21st International Conference on Intelligent Transportation Systems (ITSC), IEEE. pp. 362–367
Suzuki, H., Marumo, Y., 2018 · 2018
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Big data for transportation and mobility: recent advances, trends and challenges
Torre-Bastida, A.I., Del Ser, J., Laña, I., Ilardia, M., Bilbao, M.N., Campos-Cordobés, S., 2018 · 2018
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Advanced driving assistance systems
Ameta, B., Mathur, V., et al., 2023 · 2023
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Llms4ol: Large language models for ontology learning, in: International Semantic Web Conference, Springer. pp. 408–427
Babaei Giglou, H., D’Souza, J., Auer, S., 2023 · 2023
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Darsena, D., Gelli, G., Iudice, I., Verde, F., 2023 · 2023
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Geng, M., Li, J., Xia, Y., Chen, X.M., 2023 · 2023
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A survey of knowledge enhanced pre-trained language models
Hu, L., Liu, Z., Zhao, Z., Hou, L., Nie, L., Li, J., 2023 · 2023
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Decision-making strategy using multi-agent reinforcement learning for platoon formation in agreement-seeking cooperation
Hyeon, E., Karbowski, D., Rousseau, A., 2023a · 2023
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Potential energy saving by different cooperative driving automation classes in car-following scenarios *
Hyeon, E., Karbowski, D., Rousseau, A., 2023b · 2023
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Li, Z., Ning, H., 2023 · 2023
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Proactive longitudinal control to preclude disruptive lane changes of human-driven vehicles in mixed-flow traffic
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Ozkaya, I., 2023 · 2023
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On the construction of database interfaces based on large language models., in: WEBIST, pp. 373–380
Pinheiro, J., Victorio, W., Nascimento, E., Seabra, A., Izquierdo, Y., García, G., Coelho, G., Lemos, M., Leme, L.A.P.P., Furtado, A., et al., 2023 · 2023
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Integrating building information modelling (bim) with chatgpt, bard, and similar generative artificial intelligence in the architecture, engineering, and construction industry: applications, a novel framework, challenges, and future scope
Rane, N., Choudhary, S., Rane, J., 2023 · 2023
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Creating large language model applications utilizing langchain: A primer on developing llm apps fast, in: International Conference on Applied Engineering and Natural Sciences, pp. 1050–1056
Topsakal, O., Akinci, T.C., 2023 · 2023
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Participatory design as a tool for optimizing an intelligent transport system, in: 2023 Systems of Signals Generating and Processing in the Field of on Board Communications, IEEE. pp. 1–5
Vasilieva, E., Artamonova, Y.S., Vasiliev, E., Brega, A., 2023 · 2023
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Cooperative merging speed planning: A vehicle-dynamics-free method
Wang, Z., Cook, A., Shao, Y., Xu, G., Chen, J.M., 2023a · 2023
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Wang, Z., Zhou, A., Cook, A., Shao, Y., Xu, G., Chen, M., 2023b · 2023
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Non-unimodal and non-concave relationships in the network macroscopic fundamental diagram caused by hierarchical streets
Xu, G., Gayah, V.V., 2023 · 2023
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Emergent cooperation and strategy adaptation in multi-agent systems: An extended coevolutionary theory with llms
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