Real-time predication and navigation on traffic congestion model with equilibrium Markov chain
With the explosive growth of vehicles on the road, traffic congestion has become an inevitable problem when applying guidance algorithms to transportation networks in a busy and crowded city. In our study, the authors proposed an advanced prediction and navigation models on a dynamic traffic network...
Main Authors: | Yan Zheng, Yanran Li, Chung-Ming Own, Zhaopeng Meng, Mengya Gao |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-04-01
|
Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1177/1550147718769784 |
Similar Items
-
Traffic congestion prediction based on Hidden Markov Models and contrast measure
by: John F. Zaki, et al.
Published: (2020-09-01) -
Congestion Pattern Prediction for a Busy Traffic Zone Based on the Hidden Markov Model
by: Tingting Sun, et al.
Published: (2021-01-01) -
Green Supply Chain: Simulating Road Traffic Congestion
by: Abd Jalal, Muhammad Zulqarnain Hakim, et al.
Published: (2017) -
Predicting Traffic Flow Propagation Based on Congestion at Neighbouring Roads Using Hidden Markov Model
by: Bagus Priambodo, et al.
Published: (2021-01-01) -
Handling Neighbor Discovery and Rendezvous Consistency with Weighted Quorum-Based Approach
by: Chung-Ming Own, et al.
Published: (2015-09-01)