scholarly journals Input–Output and Hybrid Techniques for Real-Time Prediction of Delay and Maximum Queue Length at Signalized Intersections

2007 ◽  
Vol 2035 (1) ◽  
pp. 69-80 ◽  
Author(s):  
Anuj Sharma ◽  
Darcy M. Bullock ◽  
James A. Bonneson
Keyword(s):  
Real Time ◽  
Queue Length ◽  
Signalized Intersections ◽  
Input Output ◽  
Hybrid Techniques ◽  
Time Prediction ◽  
Maximum Queue Length

Real-time queue length estimation for congested signalized intersections

2009 ◽  
Vol 17 (4) ◽  
pp. 412-427 ◽  
Author(s):  
Henry X. Liu ◽  
Xinkai Wu ◽  
Wenteng Ma ◽  
Heng Hu
Keyword(s):  
Real Time ◽  
Queue Length ◽  
Signalized Intersections ◽  
Length Estimation

scholarly journals Vertical and Horizontal Queue Models for Oversaturated Signal Intersections with Quasi-Real-Time Reconstruction of Deterministic and Shockwave Queueing Profiles Using Limited Mobile Sensing Data

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Yongyang Liu ◽  
Jingqiu Guo ◽  
Yibing Wang
Keyword(s):  
Real Time ◽  
Queue Length ◽  
Real Data ◽  
Mobile Sensing ◽  
Signalized Intersections ◽  
Sensor Data ◽  
Conceptual Level ◽  
Sensing Data ◽  
Traffic Operation ◽  
Location Sensor

Deterministic/point/vertical and shockwave/physical/horizontal queueing models are widely used in traffic operation to estimate vehicular queue length and delays at bottlenecks such as signalized intersections. The consistency between the two types of queueing model in terms of their estimation performance has been a subject of debate for decades. This paper reexamines the issue, typically with respect to oversaturated signal intersections, and demonstrates the consistency based on analytical studies and microscopic simulations. While fixed-location sensor data was dominating, it was hardly possible to construct the deterministic or shockwave queueing profile using real data. For this reason, either profile had significance only at a conceptual level and could not be put into practical usage. With the quick spread of mobile sensing data, however, the situation has drastically changed. In this context, this paper also intends to develop an efficient approach to the reconstruction of the deterministic and shockwave queueing profiles in a quasi-real-time manner using very limited mobile sensing data. Microscopic simulations with AIMSUN have demonstrated the efficiency of the approach as well as the analytical results obtained in this paper.

scholarly journals Real-Time Prediction of Lane-Based Queue Lengths for Signalized Intersections

2018 ◽  
Vol 2018 ◽  
pp. 1-18 ◽  
Author(s):  
Bing Li ◽  
Wei Cheng ◽  
Lishan Li
Keyword(s):  
Queue Length ◽  
Dispersion Model ◽  
Signalized Intersections ◽  
Traffic Signal Control ◽  
Evaluation Indexes ◽  
Time Prediction ◽  
Proposed Model ◽  
Platoon Dispersion ◽  
Queue Lengths ◽  
The Relationship

Queue length is one of the most important traffic evaluation indexes for traffic signal control at signalized intersections. Most previous studies have focused on estimating queue length, which cannot be predicted effectively. In this paper, we applied the Lighthill–Whitham–Richards shockwave theory and Robertson’s platoon dispersion model to predict the arrival of vehicles in advance at intervals of 5 seconds. This approach fully described the relationship between disparate upstream traffic arrivals (as a result of vehicles making different turns) and the variation of incremental queue accumulation. It also addressed the shortcomings of the uniform arrival assumption in previous research. In addition, to predict the queue length of multiple lanes at the same time, we integrated the prediction of the traffic volume proportions in each lane using the Kalman filter. We tested this model in a field experiment, and the results showed that the model had satisfactory accuracy. We also discussed the limitations of the proposed model in this paper.

Real-Time Prediction of Tropical Cyclone Intensity Using COAMPS-TC

2012 ◽  
Author(s):  
J. D. Doyle ◽  
R. M. Hodur ◽  
S. Chen ◽  
H. Jin ◽  
Y. Jin ◽  
...  
Keyword(s):  
Tropical Cyclone ◽  
Real Time ◽  
Tropical Cyclone Intensity ◽  
Cyclone Intensity ◽  
Time Prediction
Sign in / Sign up

Export Citation Format

Share Document