Traffic Guidance Self-Organization Method for Neighbor Weaving Segments Based on Self-Organized Critical State

Abstract

Traffic congestion is usually caused by the frequent lane changing behaviour of vehicles in the weaving segments, especially in several adjacent weaving segments. In order to solve the problem of weaving congestion, this paper proposes a traffic guidance method based on self-organizing critical state, and designed a Nash equilibrium optimization scheme based on average traffic delay. Then VISSIM software carries on the simulation verification to the actual neighbor weaving segments. First, it validates the induced traffic organization method, keeps each information input consistent, and only changes the induced distance. Through the daily average traffic volume (4092 pcu / h), the traffic volume in the early peak period (5340 pcu / h), the traffic volume in the late peak period (4596 pcu / h) and annual average traffic volume (3276 pcu/h) of the two near neighbor weaving segments in Chongqing. The results show that the optimal lane change constraint distance is 60% of the length of weaving segment, and the corresponding average traffic delays are reduced by 57%, 73%, 63% and 72% respectively. Through the simulation and optimization of the whole day traffic operation, the average delay reduction rate is as high as 84%. The effectiveness of the proposed method is demonstrated by integrating other output file evaluation indexes, which can be used as a reference for future research on self-organizing criticality optimization method of neighbor weaving segments.

A Simulation-Based Comprehensive Analysis for Traffic Efficiency and Spatial Distribution of Risks in Short Weaving Area of Municipal Interchange

“…Cai et al [26] obtained traffic capacity by different simulation models of weaving areas and put forward a model of traffic capacity in weaving areas that is appropriate for urban roads in mountainous areas. Ma et al [27] proposed a traffic equilibrium organization method based on a lanechanging constraint in neighboring weaving areas, aiming at improving traffic efficiency and safety in weaving areas. Based on the analysis of the characteristics of safety in weaving areas, Xie et al [28] established a collaborative control framework for the traffic in weaving areas and the areas they affect that considers control strategies of ramps and TLs.…”

Novel Road Traffic Management Strategy for Rapid Clarification of the Emergency Vehicle Route Based on V2V Communications

“…This model was implemented based on utilizing the traffic processability of the neighbors, where different weights are assigned to roads in each agent according to their importance or the real-time traffic conditions. Additionally, to decrease travel delays, a traffic guidance method was proposed and a Nash equilibrium optimization scheme was designed, which succeeded in reducing the travel time during the traffic congestion [ 14 ]. Furthermore, to improve mobility in large urban traffic systems, a two-level hierarchical model-based predictive control system was presented to improve the whole network’s performance under different traffic scenarios [ 15 ].…”

Prediction of Evolution and Development Trend in Sports Industry Cluster Based on Particle Swarm Optimization

“…Self-organization theory plays an important role in the research of complexity science. From the perspective of system science, self-organization can be understood as an orderly system structure in the system environment, in which internal members are orderly without unified leadership and command [23,24]. e self-organizing system is not formed by external forces.…”