2021/01/22 · In this paper, a routing method based on HMM is proposed to predict road status. The true state of the road is considered a hidden state in HMM.

For different road states, we can make appropriate methods to improve routing performance. When the road is in rush hour, we will use Extended Kalman Filter to ...

Semantic Scholar extracted view of "HMM-Based Traffic State Prediction and Adaptive Routing Method in VANETs" by Kai Gao et al.

When the road is in rush hour, we will use Extended Kalman Filter to predict vehicle information in a short time to reduce the number of broadcasts, which can ...

HMM-Based Traffic State Prediction and Adaptive Routing Method in VANETs ... In this paper, we propose a traffic state prediction method based on Hidden ...

ACS Style. Kaihan Gao; Xu Ding; Juan Xu; Fan Yang; Chong Zhao. HMM-Based Traffic State Prediction and Adaptive Routing Method in VANETs. 2021, 236 -252.

Simulation evaluation demonstrates that PRHMM performs much better in terms of delivery ratio, end-to-end delay, traffic overhead, and buffer occupancy. Index ...

2022/04/07 · This paper plans to design an enhanced prediction model for traffic flow using a Modified Hidden Markov Model (MHMM).

2023/06/14 · Routing in VANETs is done by sending data packets between the sender and receiver in the network until all the vehicles in the network receive ...

This paper proposes a reliable self-adaptive routing algorithm (RSAR) based on this heuristic service algorithm.