In this paper, a vision-based approach for automatic detection of traffic incident is proposed. Entropy-based features are extracted to create a cellular model ...
In this paper, a vision-based approach for automatic detection of traffic incident is proposed. Entropy-based features are extracted to create a cellular model ...
The occurrence of accidents on the freeway/highway has a significant impact on normal traffic manipulations and the reasons that cause.
The model of the 26th of July corridor in Egypt previously developed using PARAMICS traffic micro-simulator by the Center for Intelligent Transportation ...
A traffic monitoring system based on GPS-enabled smartphones exploits the extensive coverage provided by the cellular network, the high accuracy in position and ...
Sep 20, 2022 · The simulation results show that the improved cellular automata model improves the traffic congestion significantly compared with the original ...
Missing: Monitoring | Show results with:Monitoring
An emergency vehicle CA model for urban road traffic flow is constructed by introducing the speed perception of connected vehicles, the low response time of ...
May 31, 2024 · This paper established a cellular automata model with greedy algorithm for the traffic control ... Automated traffic light system for road ...
Missing: Monitoring | Show results with:Monitoring
We present a method (TSENet) that can accurately predict the traffic in the cellular network. TSENet is composed of transformers and self-attention network.
This survey focuses on a data-driven method for cellular traffic prediction, which is essentially time-series forecasting. Traditional time-series forecasting ...