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Traffic Signal Cycle Control With Centralized Critic and Decentralized Actors Under Varying Intervention Frequencies
Maonan Wang;Yirong Chen;Yuheng Kan;Chengcheng Xu;Michael Lepech;Man-On Pun;Xi Xiong
Traffic congestion in urban areas is a significant problem, leading to prolonged travel times, reduced efficiency, and increased environmental concerns. Effective traffic signal control (TSC) is a key strategy for reducing congestion. Unlike most TSC systems that rely on high-frequency control, this study introduces an innovative joint phase traffic signal cycle control method that operates effect...Show More
Scalable Reinforcement Learning Framework for Traffic Signal Control Under Communication Delays
Vehicle-to-everything (V2X) technology is pivotal for enhancing road safety, traffic efficiency, and energy conservation through the communication of vehicles with their surrounding entities such as other vehicles, pedestrians, roadside infrastructure, and networks. Among these, traffic signal control (TSC) plays a significant role in roadside infrastructure for V2X. However, most existing works o...Show More
Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting
2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
Year: 2023 | Conference Paper |
Accurate traffic forecasting is vital to intelligent transportation systems, which are widely adopted to solve urban traffic issues. Existing traffic forecasting studies focus on modeling spatial-temporal dynamics in traffic data, among which the graph convolution network (GCN) is at the center for exploiting the spatial dependency embedded in the road network graphs. However, these GCN-based meth...Show More
@ME: A Fine-grained Route Recommendation System to Grab Impatient Passengers
Hanwen Hu;Yirong Chen;Jingchao Ouyang;Shiyou Qian;Jian Cao;Han Han;Jie Wang;Michael Lepech
2022 International Joint Conference on Neural Networks (IJCNN)
Year: 2022 | Conference Paper |
Data analysis reveals that passengers can only endure a few minutes before taking a taxi. However, most existing route recommendation systems are not adequate to satisfy impatient customers due to two shortcomings: inaccurate demand forecast and the lack of an efficient supply-demand balance mechanism. In this paper, we propose a recommendation system called @ Me, which aims to dispatch vacant tax...Show More
Multi-Agent Context-Aware Dynamic-Scheduling for Large-scale Processing Networks
Shuhui Qu;Yirong Chen;Juergen Jasperneite;Michael D. Lepech;Jie Wang
2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Year: 2020 | Conference Paper |
Optimally scheduling jobs in processing networks to meet multiple objectives for economic considerations and operational efficiencies has been a hot topic. However, most data-driven methods are rarely applied. One of the critical reasons is that the scheduling policy generated by these methods tends to bias toward the specific environment.In order to better deal with the discrepancy, this work in ...Show More
Probabilistic Design of Sustainable Reinforced Concrete Infrastructure Repairs Using SIPmath
2019 Winter Simulation Conference (WSC)
Year: 2019 | Conference Paper |
The design, construction, and operation of civil infrastructure that is more environmentally, socially, and economically responsible over its life cycle from extraction of raw materials to end of life is increasingly desirable worldwide. This paper presents a probabilistic framework for the design of civil infrastructure that achieves targeted improvements in quantitative sustainability indicators...Show More
A framework for multiphysics modeling of natural environments for valuation of privately owned ecosystem services
Proceedings of the 2011 IEEE International Symposium on Sustainable Systems and Technology
Year: 2011 | Conference Paper |
Modeling of ecosystem services using a multiphysics approach shows promise in detailing the contribution and interaction of constituent underlying processes. Such detail is required to enable ecosystem service valuation based on functional substitutability, whereby the market value of an equivalent engineered system provides a basis of value amenable to international financial accounting norms. On...Show More
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