Development of Dynamic Platoon Dispersion Models for Predictive Traffic Signal Control

Shen, Lei; Liu, Ronghui; Yao, Zhihong; Wu, Weitiao; Yang, Hongtai

doi:10.1109/tits.2018.2815182

Cited by 42 publications

(35 citation statements)

References 17 publications

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“…In COP algorithm, the optimal plan must meet the integer stages, so the last stage stops at time , but in the EOP algorithm, the last stage of the optimal plan stops at the range of time internal . So, compared to the COP algorithm, the proposed EOP algorithm can obtain the optimal signal timing plan given the prediction vehicle arrivals [15].…”

Section: Backward Recursionmentioning

confidence: 99%

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A Dynamic Predictive Traffic Signal Control Framework in a Cross-Sectional Vehicle Infrastructure Integration Environment

Yao

Shen

Liu

et al. 2020

IEEE Trans. Intell. Transport. Syst.

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With the development of modern wireless communication technology, especially the vehicle infrastructure integration VII technology vehicles information such as identification location and speed can be readily obtained at upstream cross-section. This information can be used to support traffic signal timing optimization in real time. A dynamic predictive traffic signal control framework for isolated intersections is proposed in a cross-sectional VII environment, which has the ability to predict vehicle arrivals and use which to optimize traffic signals. The proposed dynamic predictive control framework includes a dynamic platoon dispersion model DPDM which uses the vehicles speed data from cross-sectional VII environment, as opposed to traditional vehicle passing/existing data, to predict the arriving flow distribution at the downstream stop-line. Then, a dynamic programming algorithm based on the exhaustive optimization of phases (EOP) is proposed working in rolling optimization (RO) scheme with a 2 seconds time horizon. The signal timings are continuously optimized by regarding the minimization of intersection delay as the optimization objective, and setting the green time duration of each phase as a constraint. In the end, the proposed dynamic predictive control framework is tested in a simulated cross-sectional VII environment and carried out a case study based on a real road network. The results show that the proposed framework can reduce the average delay and queue length by up to 33% and 35% respectively compared to traditional full-actuated control.

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Section: Backward Recursionmentioning

confidence: 99%

“…In this paper, the real-time speed data collected in the upstream cross-sectional VII environment is used. Then, a dynamic platoon dispersion model [15] is developed to predict the arrival distribution at the downstream stop-line. The predicted arrival distributions can be used for signal timing optimization in real time.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Predictive Traffic Signal Control Framework in a Cross-Sectional Vehicle Infrastructure Integration Environment

Yao

Shen

Liu

et al. 2020

IEEE Trans. Intell. Transport. Syst.

Self Cite

View full text Add to dashboard Cite

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“…Because the tail of the geometric distribution is longer than the corresponding normal distribution, Robertson's model can better predict the platoon dispersion for any given mean travel time [41]. In addition, because of the low computational requirements of Robertson's model, it is easy to apply this model both to the signal optimization of large road networks [37,[42][43][44] and to the development of other traffic theories [31,[45][46][47][48][49].…”

Section: (7)mentioning

confidence: 99%

“…(1) Calculate Queue Length in Intervals of 5 Seconds. Following Bell [50] and Shen et al [31], we took 5 seconds as the time interval in the application of Robertson's model. To express the dynamic evolution of traffic waves more clearly, we introduced the cell transmission model (CTM) [51,52] to describe the formation of traffic waves in intervals of 5 seconds.…”

Section: (7)mentioning

confidence: 99%

“…The third category is the prediction of queue length. With the improvement of traffic control requirements, predictive traffic signal control has become a developing trend, which relies on the ability to obtain relevant parameters of traffic control in advance [27][28][29][30][31]. Therefore, the prediction of queue length is essential for predictive control optimization.…”

Section: Introductionmentioning

confidence: 99%

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

Cheng

2018

Journal of Advanced Transportation

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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.

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A wideband beam shaping reflector antenna using model predictive control

Kadkhodayi

Mohammad-Ali-Nezhad

Ghasemi

2020

Int J RF Microw Comput Aided Eng

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A novel method based on model predictive control (MPC) is presented for synthesis and optimization of a wide band reflector antenna with cosecant squared and flat‐topped radiation patterns. The proposed system is a doubly curved reflector antenna with nonlinear dynamic equation. This article investigates design and optimization of a double ridged horn reflector antenna operating within the frequency range of 8 to 18 GHz. In order to synthesize the proposed reflector antenna, MPC is used to achieve the desired radiation cosecant pattern. This method utilizes system model and tries to find the best control effort for minimizing the cost function by predicting the future behavior. The system differential equation is comprised of first and second order derivatives, so MPC can be a good solution for synthesis of a doubly reflector antenna. MPC optimizer operates based on state space model, so the proposed system is linearized in the operating range. Maximum error, the average error and side lobe level of this method for the radiation pattern of the proposed wideband antenna respectively are 1.4, 0.9, and −20 dB. Simulation results of the radiation pattern in CST and HFSS software show that the proposed reflector antenna can be used in broadband surveillance radar systems.

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Development of Dynamic Platoon Dispersion Models for Predictive Traffic Signal Control

Cited by 42 publications

References 17 publications

A Dynamic Predictive Traffic Signal Control Framework in a Cross-Sectional Vehicle Infrastructure Integration Environment

A Dynamic Predictive Traffic Signal Control Framework in a Cross-Sectional Vehicle Infrastructure Integration Environment

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

A wideband beam shaping reflector antenna using model predictive control

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