scholarly journals A Data-Driven Control Strategy for Urban Express Ramp

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Liyan Zhang ◽  
Min Zhang ◽  
Jian Ma ◽  
Jing Ge
Keyword(s):  
Control Strategy ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Cooperative Control ◽  
Road Network ◽  
Urban Traffic ◽  
Data Driven ◽  
Traffic Information ◽  
Network Environment ◽  
Intelligent Network

Expressway, as the main artery of urban traffic, realizes the smooth operation of the whole urban road network through reasonably balancing the traffic flow. However, due to the lack of reasonable and effective traffic control, the safety and congestion of expressways are becoming more and more serious. The development of intelligent network technology provides a new idea to solve the control problem of expressways. In this paper, a data-driven ramp control model of urban expressway is constructed. The interaction of traffic information is realized through intelligent network connection technology. The cooperative control strategy of VSL and RM is adopted. The mutual feedback of VSL and RM is realized based on the improved METANET model. The simulation experiment based on VISSIM secondary development shows that the collaborative control strategy under the intelligent network environment could make the vehicle travel time reduced by 20.59% and the speed difference between adjacent sections of the expressway mainline by 34.07%, which realized the coordinated control of the mainline and the on-ramp under the intelligent network environment, alleviate the expressway traffic congestion, reduce the traffic pressure, and improve the efficiency of the road network.

Modeling and Designing of Urban Traffic Control Systems by Statecharts

2011 ◽  
Vol 308-310 ◽  
pp. 1582-1585
Author(s):  
Yi Sheng Huang ◽  
Tso Hsien Liao
Keyword(s):  
Boolean Function ◽  
Control Systems ◽  
Dynamic Model ◽  
Control Strategy ◽  
Traffic Control ◽  
Propositional Logic ◽  
Urban Traffic ◽  
Hierarchical Tree ◽  
Tree Diagram ◽  
Urban Traffic Control

Statechart has been utilized as a visual formalism for the modeling of complex systems. It illuminates the features on describing properties of causality, concurrency and synchronization. The reachability structure is used to represented dynamic model by a Boolean function. In this paper, we try to describe State invariant method and equation function for hierarchical tree diagram. Finally, we used them to analyze the urban traffic control systems which are modeled by using Statecharts. Their formalism provides a concept of propositional logic for presenting control strategy.

Taxi Global Positioning System Data in Urban Road Network: A Methodology to Identify Key Road Clusters Based on Travel Speed–Traffic Volume Correlation

2021 ◽  
pp. 036119812110366
Author(s):  
Yi Li ◽  
Weifeng Li ◽  
Qing Yu ◽  
Han Yang
Keyword(s):  
Traffic Congestion ◽  
Road Network ◽  
Travel Speed ◽  
Detection Algorithm ◽  
Traffic Volume ◽  
Urban Traffic ◽  
Mitigation Strategies ◽  
Operating Characteristics ◽  
The Road ◽  
Road Segments

Urban traffic congestion is one of the urban diseases that needs to be solved urgently. Research has already found that a few road segments can significantly influence the overall operation of the road network. Traditional congestion mitigation strategies mainly focus on the topological structure and the transport performance of each single key road segment. However, the propagation characteristics of congestion indicate that the interaction between road segments and the correlation between travel speed and traffic volume should also be considered. The definition is proposed for “key road cluster” as a group of road segments with strong correlation and spatial compactness. A methodology is proposed to identify key road clusters in the network and understand the operating characteristics of key road clusters. Considering the correlation between travel speed and traffic volume, a unidirectional-weighted correlation network is constructed. The community detection algorithm is applied to partition road segments into key road clusters. Three indexes are used to evaluate and describe the characteristic of these road clusters, including sensitivity, importance, and IS. A case study is carried out using taxi GPS data of Shanghai, China, from May 1 to 17, 2019. A total of 44 key road clusters are identified in the road network. According to their spatial distribution patterns, these key road clusters can be classified into three types—along with network skeletons, around transportation hubs, and near bridges. The methodology unveils the mechanism of congestion formation and propagation, which can offer significant support for traffic management.

scholarly journals Multi-Agent-Based Data-Driven Distributed Adaptive Cooperative Control in Urban Traffic Signal Timing

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1402 ◽  
Author(s):  
Haibo Zhang ◽  
Xiaoming Liu ◽  
Honghai Ji ◽  
Zhongsheng Hou ◽  
Lingling Fan
Keyword(s):  
Cooperative Control ◽  
Traffic Signal ◽  
Urban Traffic ◽  
Data Driven ◽  
Experimental Comparison ◽  
Signal Control ◽  
Signal Timing ◽  
Agent Based ◽  
Multi Agent ◽  
Traffic Signal Timing

Data-driven intelligent transportation systems (D2ITSs) have drawn significant attention lately. This work investigates a novel multi-agent-based data-driven distributed adaptive cooperative control (MA-DD-DACC) method for multi-direction queuing strength balance with changeable cycle in urban traffic signal timing. Compared with the conventional signal control strategies, the proposed MA-DD-DACC method combined with an online parameter learning law can be applied for traffic signal control in a distributed manner by merely utilizing the collected I/O traffic queueing length data and network topology of multi-direction signal controllers at a single intersection. A Lyapunov-based stability analysis shows that the proposed approach guarantees uniform ultimate boundedness of the distributed consensus coordinated errors of queuing strength. The numerical and experimental comparison simulations are performed on a VISSIM-VB-MATLAB joint simulation platform to verify the effectiveness of the proposed approach.

Research on Path Optimization of Urban Traffic Guidance System

2014 ◽  
Vol 624 ◽  
pp. 520-523
Author(s):  
Dan Ping Wang ◽  
Kun Yuan Hu
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Design Patterns ◽  
Rapid Development ◽  
Urban Traffic ◽  
Guidance System ◽  
Traffic Signal Control ◽  
Traffic Guidance ◽  
Traffic Signal Control Systems

With the rapid development of economics and technology; the number of vehicles has largely increased. In this paper, traffic guidance and traffic control systems were researched as well as the Internet of Things (IOT). The author tried to combine these three parts to send traffic data to road users so as to let them choose the best route to travel. Meanwhile, traffic network optimization has been realized to reduce traffic congestion areas. This paper has optimized regional traffic signal control systems based on IOT, traffic guidance as well as traffic assignment, involved data sources, IOT design patterns, data collection as well as the relationship between guidance obeisance rate and traffic jam. It also involved the definition of ideal traffic shortest routes, planning and designing of traffic control systems. Results and researches could hope to combine with reality in order to reduce traffic congestion.

Research of Urban Intersections Group Scoping Based on Simulation

2014 ◽  
Vol 552 ◽  
pp. 240-243 ◽  
Author(s):  
Shuo Wang ◽  
Xiao Han ◽  
Qian Wang
Keyword(s):  
Traffic Control ◽  
Traffic Congestion ◽  
Road Network ◽  
Practical Significance ◽  
Strongly Correlated ◽  
Operating Characteristics ◽  
Group Program ◽  
The Road ◽  
Dynamic Partitioning ◽  
Time Space

An urban intersection group consists of a set of intersections which are geographically adjacent and strongly correlated with each other. It is an effective way to relieve traffic congestion in the networks to set the key intersection of the road network as the core, radiate outward to find the scale of its influence and divide the intersections into groups according to their relevance. Determining intersections group is the fundament of improving traffic control. Therefore, analyzing the associated features of intersections group and the research method of determining the scope of intersection group to ensure the compatibility of "time", " space" and "traffic flow", is of high research value and practical significance[1]. This paper focuses on operating characteristics of adjacent intersections with factor (CF) as indicators of the value of the associated metric of the adjacent sections and developing dynamic partitioning intersection group program in VISSIM, and take the road network near Guangzhou Road as example.

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