Real-time traffic signal optimization model based on average delay time per person

We proposed a signal control optimization model for urban main trunk line intersections. Four-phase intersection was analyzed and modeled based on the Cell Transmission Model (CTM). CTM and signal control model in our study had both been improved for multi-intersections by three-phase theory and information-exchanging. To achieve a real-time application, an improved genetic algorithm (GA) was proposed finally, the DISCO traffic simulation software was used for numerical simulation experiment, and comparisons with the standard GA and CTM were reported in this paper. Experimental results indicate that our searching time is less than that of SGA by 38%, and our method needs only 1/3 iteration time of SGA. According to our DISCO traffic simulation processing, compared with SGA, if the input traffic flow is changed from free phase to synchronized phase, for example, less than 900 vel/h, the delay time can reduce to 87.99% by our method, and the minimum delay time is 77.76% of existing method. Furthermore, if input traffic volume is increased to 1200 vel/h or more at the synchronized phase, the summary and minimum values of average delay time are reduced to 81.16% and 75.83%, respectively, and the average delay time is reduced to 17.72 seconds.

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Real Time Traffic Signal Optimization Control Method in Urban Areas

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)47587-2 ◽

1994 ◽

Vol 27 (12) ◽

pp. 899-903

Author(s):

T. Oda ◽

Y. Yano ◽

Y. Mashiyama

Keyword(s):

Real Time ◽

Urban Areas ◽

Control Method ◽

Traffic Signal ◽

Signal Optimization ◽

Real Time Traffic ◽

Optimization Control

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How To Improve Urban Intelligent Traffic? A Case Study Using Traffic Signal Timing Optimization Model Based On Swarm Intelligence Algorithm

Sensors ◽

10.3390/s21082631 ◽

2021 ◽

Vol 21 (8) ◽

pp. 2631

Author(s):

Xiancheng Fu ◽

Hengqiang Gao ◽

Hongjuan Cai ◽

Zhihao Wang ◽

Weiming Chen

Keyword(s):

Traffic Flow ◽

Optimization Model ◽

Traffic Congestion ◽

Delay Time ◽

Traffic Signal ◽

Urban Traffic ◽

Signal Timing ◽

Average Delay ◽

Traffic Capacity ◽

Traffic Signal Timing

Traffic congestion is a major problem in today’s society, and the intersection, as an important hub of urban traffic, is one of the most common places to produce traffic congestion. To alleviate the phenomenon of congestion at urban traffic intersections and relieve the traffic pressure at intersections, this paper takes the traffic flow at intersections as the research object and adopts the swarm intelligent algorithm to establish an optimization model of intersection traffic signal timing, which takes the average delay time of vehicles, the average number of stops of vehicles and the traffic capacity as the evaluation indexes. This model adjusts the intersection traffic signal timing intelligence according to the real-time traffic flow and carries out simulation experiments with MATLAB. Compared with the traditional timing schemes, the average delay time of vehicles is reduced by 10.25%, the average number of stops of vehicles is reduced by 24.55%, and the total traffic capacity of the intersection is increased by 3.56%, which verifies that the scheme proposed in this paper is effective in relieving traffic congestion.

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A Semi-Fuzzy Logic Signal Optimization Model of an Isolated Oversaturated Intersection

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.905.481 ◽

2014 ◽

Vol 905 ◽

pp. 481-486

Author(s):

Jian Zhi Gao ◽

Jia Feng Yuan ◽

Zhi Yun Zou

Keyword(s):

Fuzzy Logic ◽

Real Time ◽

Optimization Model ◽

Current Phase ◽

Signal Timing ◽

Signal Optimization ◽

Traffic Condition ◽

Real Time Traffic ◽

Logic Signal ◽

Phase Optimization

A semi-fuzzy logic signal optimization model is proposed aimed at the current frequently oversaturated situation of urban intersections. The model consists of two modules, namely phase optimization module and green time extender module. The phase optimization module is to choose the optimal phase by taking intersection through efficiency and vehicle delay into consideration. The green time extender module determines whether to extend or terminate the current phase green time using improved fuzzy logic control method. The real-time traffic condition on all lanes that enter the intersection are input parameters of signal timing in the whole signal optimization process, so it can make adaptive adjustments about signal timing according to the change of real-time traffic condition, which make it sure that the traffic on all lanes can cross the intersection orderly in the most reasonable phase within the most appropriate green time.

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Acyclic Real-Time Traffic Signal Control Based on a Genetic Algorithm

Cybernetics and Information Technologies ◽

10.2478/cait-2013-0029 ◽

2013 ◽

Vol 13 (3) ◽

pp. 111-123 ◽

Cited By ~ 5

Author(s):

Hairong Yang ◽

Dayong Luo

Keyword(s):

Genetic Algorithm ◽

Real Time ◽

Control Model ◽

Traffic Signal ◽

Signal Control ◽

Traffic Signal Control ◽

Signal Optimization ◽

Total Delay ◽

Real Time Traffic ◽

The Impact

Abstract This paper presents an acyclic real-time traffic signal control model with transit priority based on a rolling horizon process for isolated intersections. The developed model consists of two components, including: an Improved Genetic Algorithm (IGA)-based signal optimization module and a microscopic traffic simulation module. The acyclic real-time traffic signal control model optimizes the phase sequence and the phase length with the aim to minimize the total delay of both transit vehicles and general vehicles for the next decision horizon. Numerical results show that the proposed IGA signal optimization module could provide a more efficient search for optimal solutions. The results also show that the acyclic real-time traffic signal control model outperforms the fixed-time control model. It prioritizes transit vehicles while minimizing the impact on the general vehicles.

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Real-Time Traffic Signal Optimization with Transit Priority: Recent Advances in the Signal Priority Procedure for Optimization in Real-Time Model

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1634-13 ◽

1998 ◽

Vol 1634 (1) ◽

pp. 100-109 ◽

Cited By ~ 11

Author(s):

Mark Conrad ◽

Françlois Dion ◽

Sam Yagar

Keyword(s):

Real Time ◽

Discrete Event ◽

Object Oriented ◽

Traffic Signal ◽

Test Results ◽

Signal Optimization ◽

Simulation Test ◽

Time Model ◽

General Flow ◽

Real Time Traffic

Real-time traffic signal optimization software was developed using object-oriented techniques based upon the SPPORT (Signal Priority Procedure for Optimization in Real Time) model. SPPORT is a rule-based model that provides specialized mechanisms for transit priority. Based upon a flexible discrete-event traffic simulator that realistically models the effects of transit operations on the general flow of traffic, and equipped with rules designed to provide effective transit priority while still giving appropriate consideration to other traffic, SPPORT generates signal timings to minimize an objective function in which transit vehicles may be weighted as deemed appropriate in relation to other traffic. In developing this software, the SPPORT model was extended to support user-defined intersection configurations, multiphase traffic signal operation, and a more advanced form of transit priority that considers both nearside and mid-block transit stop locations. The fundamental concepts of the SPPORT model and their relationships to the key components of the SPPORT software are the foci of this paper. An illustrative example and a set of simulation test results are also presented.

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