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https://doi.org/10.7307/ptt.v33i1.3555

Estimating Signal Timing of Actuated Signal Control Using Pattern Recognition under Connected Vehicle Environment

Ruochen Hao ; Tongji University, Shanghai, China
Ling Wang ; Tongji University, Shanghai, China
Wanjing Ma ; Tongji University, Shanghai, China
Chunhui Yu ; Tongji University, Shanghai, China


Puni tekst: engleski pdf 794 Kb

str. 153-163

preuzimanja: 251

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Sažetak

The Signal Phase and Timing (SPaT) message is an important input for research and applications of Connected Vehicles (CVs). However, the actuated signal controllers are not able to directly give the SPaT information since the SPaT is influenced by both signal control logic and real-time traffic demand. This study elaborates an estimation method which is proposed according to the idea that an actuated signal controller would provide similar signal timing for similar traffic states. Thus, the quantitative description of traffic states is important. The traffic flow at each approaching lane has been compared to fluids. The state of fluids can be indicated by state parameters, e.g. speed or height, and its energy, which includes kinetic energy and potential energy. Similar to the fluids, this paper has proposed an energy model for traffic flow, and it has also added the queue length as an additional state parameter. Based on that, the traffic state of intersections can be descripted. Then, a pattern recognition algorithm was developed to identify the most similar historical states and also their corresponding SPaTs, whose average is the estimated SPaT of this second. The result shows that the average error is 3.1 seconds.

Ključne riječi

connected vehicle; actuated signal control; signal timing estimation; energy model; queue length

Hrčak ID:

253192

URI

https://hrcak.srce.hr/253192

Datum izdavanja:

5.2.2021.

Posjeta: 631 *