Reinforcement Learning Based Passengers Assistance System for Crowded Public Transportation in Fog Enabled Smart City
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Reinforcement Learning Based Passengers Assistance System for Crowded Public Transportation in Fog Enabled Smart City
Authors
Keywords
-
Journal
Electronics
Volume 9, Issue 9, Pages 1501
Publisher
MDPI AG
Online
2020-09-14
DOI
10.3390/electronics9091501
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Load Balancing Routing Mechanism Based on SDWSN in Smart City
- (2019) Xin Cui et al. Electronics
- Hybrid Inference Based Scheduling Mechanism for Efficient Real Time Task and Resource Management in Smart Cars for Safe Driving
- (2019) Sehrish Malik et al. Electronics
- Smart City Development and Residents’ Well-Being
- (2019) Chunpei Lin et al. Sustainability
- Pedestrian Trajectory Prediction in Extremely Crowded Scenarios
- (2019) Xiaodan Shi et al. SENSORS
- On the Location of Fog Nodes in Fog-Cloud Infrastructures
- (2019) Rodrigo A. C. da Silva et al. SENSORS
- Decision-Making System for Lane Change Using Deep Reinforcement Learning in Connected and Automated Driving
- (2019) HongIl An et al. Electronics
- Long-term exposure to traffic-related air pollution and systemic lupus erythematosus in Taiwan: A cohort study
- (2019) Chau-Ren Jung et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Double Coded Caching in Ultra Dense Networks: Caching and Multicast Scheduling via Deep Reinforcement Learning
- (2019) Zhengming Zhang et al. IEEE TRANSACTIONS ON COMMUNICATIONS
- Vehicular Task Offloading via Heat-Aware MEC Cooperation Using Game-Theoretic Method
- (2019) Zhu Xiao et al. IEEE Internet of Things Journal
- Q-learning approach to coordinated optimization of passenger inflow control with train skip-stopping on a urban rail transit line
- (2018) Zhibin Jiang et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Reinforcement learning approach for coordinated passenger inflow control of urban rail transit in peak hours
- (2018) Zhibin Jiang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Fog-Based Crime-Assistance in Smart IoT Transportation System
- (2018) Augusto J. V. Neto et al. IEEE Access
- Distributed Public Vehicle System Based on Fog Nodes and Vehicular Sensing
- (2018) Yongxuan Lai et al. IEEE Access
- Multiobjective Optimization for Computation Offloading in Fog Computing
- (2018) Liqing Liu et al. IEEE Internet of Things Journal
- Fog Assisted-IoT Enabled Patient Health Monitoring in Smart Homes
- (2018) Prabal Verma et al. IEEE Internet of Things Journal
- Environment Classification for Urban Big Data Using Deep Learning
- (2018) M. Shamim Hossain et al. IEEE COMMUNICATIONS MAGAZINE
- Fog computing: from architecture to edge computing and big data processing
- (2018) Simar Preet Singh et al. JOURNAL OF SUPERCOMPUTING
- Open-Source Electronics Platforms as Enabling Technologies for Smart Cities: Recent Developments and Perspectives
- (2018) Daniel Costa et al. Electronics
- Study on Crash Injury Severity Prediction of Autonomous Vehicles for Different Emergency Decisions Based on Support Vector Machine Model
- (2018) Yaping Liao et al. Electronics
- Research on Air Combat Maneuver Decision-Making Method Based on Reinforcement Learning
- (2018) Xianbing Zhang et al. Electronics
- Enabling bidirectional traffic mobility for ITS simulation in smart city environments
- (2018) Tong Wang et al. Future Generation Computer Systems-The International Journal of eScience
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search