Concepedia

Multi-objective deep reinforcement learning approach for adaptive traffic signal control system with concurrent optimization of safety, efficiency, and decarbonization at intersections

Gongquan Zhang, Fangrong Chang, Jieling Jin, Fan Yang, Helai Huang

Accident Analysis & Prevention · 2024 · 80 citations · 48 references

Concepts

Intelligent Traffic ManagementEngineeringConcurrent OptimizationDeep Reinforcement LearningSystems EngineeringTraffic Signal ControlMulti-objective Deep ReinforcementRoad Traffic ControlTraffic Management

References

48

Deep Reinforcement Learning: A Brief Survey

Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage et al. · IEEE Signal Processing Magazine · 2017 · 4.1K citations

An Introduction to Deep Reinforcement Learning

Vincent François-Lavet, Peter Henderson, Riashat Islam et al. · Foundations and Trends® in Machine Learning · 2018 · 1.2K citations · Full text

Big Data Analytics in Intelligent Transportation Systems: A Survey

Li Zhu, F. Richard Yu, Yige Wang et al. · IEEE Transactions on Intelligent Transportation Systems · 2018 · 1K citations

Intelligent Traffic Management, Engineering, Data Science +11

A comparison of headway and time to collision as safety indicators

Katja Vogel · Accident Analysis & Prevention · 2003 · 684 citations

Kinesiology, Road Traffic Safety, Safety Science +10

Optimizing networks of traffic signals in real time-the SCOOT method

D I Robertson, Roger Bretherton · IEEE Transactions on Vehicular Technology · 1991 · 603 citations

Intelligent Traffic Management, Fixed Time Signals, Real-time Signal Optimizers +15