Open Access
Issue |
E3S Web of Conf.
Volume 536, 2024
2024 6th International Conference on Environmental Prevention and Pollution Control Technologies (EPPCT 2024)
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Article Number | 01021 | |
Number of page(s) | 6 | |
Section | Environmental Planning Management and Ecological Construction | |
DOI | https://doi.org/10.1051/e3sconf/202453601021 | |
Published online | 10 June 2024 |
- Rusca M, Rusu T, Avram S E, et al. Physicochemical Assessment of the Road Vehicle Traffic Pollution Impact on the Urban Environment[J]. Atmosphere, 2023, 14(5): 862. [CrossRef] [Google Scholar]
- Kar S, Chowdhury S, Gupta T, et al. A Study on the Impact of Air Pollution on Health Status of Traffic Police Personnel in Kolkata, India[J]. Air, 2024, 2(1): 1-23. [CrossRef] [Google Scholar]
- Bai X, Dong P, Huang Y, et al. An AR-Based Meta Vehicle Road Cooperation Testing Systems: Framework, Components Modeling and an Implementation Example[J]. IEEE Internet of Things Journal, 2024. [Google Scholar]
- Ren Y, Jiang H, Ji N, et al. TBSM: A traffic burst-sensitive model for short-term prediction under special events[J]. Knowledge-Based Systems, 2022, 240: 108120. [CrossRef] [Google Scholar]
- Jiang H, Ren Y, Fang J, et al. SHIP: A State-Aware Hybrid Incentive Program for Urban Crowd Sensing with For-Hire Vehicles[J]. IEEE Transactions on Intelligent Transportation Systems, 2023. [Google Scholar]
- Ren Y, Wang Y, Yu G, et al. An adaptive signal control scheme to prevent intersection traffic blockage[J]. IEEE Transactions on Intelligent Transportation Systems, 2016, 18(6): 1519-1528. [Google Scholar]
- Agand P, Iskrov A, Chen M. Deep Reinforcement Learning-Based Intelligent Traffic Signal Controls with Optimized CO2 Emissions[C]//2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023: 5495-5500. [Google Scholar]
- Ault J, Hanna J P, Sharon G. Learning an Interpretable Traffic Signal Control Policy[C]//Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems. 2020: 88-96. [Google Scholar]
- Tampuu A, Matiisen T, Kodelja D, et al. Multiagent cooperation and competition with deep reinforcement learning[J]. PloS one, 2017, 12(4): e0172395. [CrossRef] [PubMed] [Google Scholar]
- Zheng G, Xiong Y, Zang X, et al. Learning phase competition for traffic signal control[C]//Proceedings of the 28th ACM international conference on information and knowledge management. 2019: 1963-1972. [Google Scholar]
- Green A E S, Singhal R P, Venkateswar R. Analytic extensions of the Gaussian plume model[J]. Journal of the Air Pollution Control Association, 1980, 30(7): 773-776. [CrossRef] [Google Scholar]
- Yao W, Li Z, Li C, et al. Relationship between Bolar Radiance and Solar Illuminance Under All Sky Types [J]. Journal of Tong Ji University (Natural Science), 2013, 41(5): 784-787. [Google Scholar]
- Mohan M, Siddiqui T A. Analysis of various schemes for the estimation of atmospheric stability classification[J]. Atmospheric Environment, 1998, 32(21): 3775-3781. [CrossRef] [Google Scholar]
- Ault J, Sharon G. Reinforcement learning benchmarks for traffic signal control[C]//Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1). 2021. [Google Scholar]
- Bian Y, Zheng Y, Ren W, et al. Reducing time headway for platooning of connected vehicles via V2V communication[J]. Transportation Research Part C: Emerging Technologies, 2019, 102: 87-105. [CrossRef] [Google Scholar]
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