By making use of the speed data recorded at upstream cross-section during a specified rolling time window, dynamic platoon dispersion models can be established to predict the future arrival distribution of traffic flow at downstream stop-line.
Mar 29, 2018 · We investigate factors affecting model accuracy, including time-zone length, position of upstream traffic detection equipment, road section ...
Jan 31, 2019 · Abstract—As the development of traffic detection technol- ogy, recent research is directed to a new generation of signal control systems ...
Investigating dynamic platoon dispersion models which could capture the variability of traffic flow in a cross-sectional traffic detection environment shows ...
Jun 18, 2018 · The proposed dynamic predictive control framework includes a dynamic platoon dispersion model (DPDM) which uses the vehicles' speed data from ...
Nov 3, 2023 · Shen et al. established a dynamic platoon discrete model, which can detect the change of traffic flow in the cross section of the road, predict ...
This paper proposes a dynamic Robertson's platoon dispersion model based on real-time travel times. Then, based on field observations, the prediction error and ...
Aug 2, 2019 · This study proposes a dynamic Robertson's platoon dispersion model based on real-time travel times. Then, based on field observations, the ...
This paper theoretically analyzes queueing process at a signalized intersection based on a new platoon dispersion model.
Platoon dispersion models attempt to simulate the dispersion of traffic flow by estimating vehicle arrivals at downstream locations based on the upstream ...