Traffic signal coordination control optimization method for emergency rescue vehicle driving path

Abstract

The invention relates to a traffic signal coordination control optimization method for an emergency rescue vehicle driving path. The method comprises emergency rescue prioritization, path type classification, signal priority control, signal coordination control, and a bi-level programming model; relevant coordination control research on paths is conducted; first, emergency rescue characteristics and objects are analyzed, research on upper level dynamic phase difference and lower layer path green wave coordination in different path forms is conducted, and relevant case analysis and verificationare performed. The method disclosed in the invention is characterized by real time performance, traffic signal coordination priority control over an emergency rescue path can be exerted based on timewhen an emergency rescue team reaches a crossroad and real time vehicle load information of general vehicles, emergency rescue response time can be shortened, and casualties and property loss can beeffectively reduced.

Description

technical field [0001] The invention relates to a priority control method for urban road traffic signals, in particular to a two-layer planning optimization method for coordinated control of traffic signals facing emergency rescue vehicle travel paths. Background technique [0002] With the development of the economy and the acceleration of urbanization, the state of traffic in the central urban area continues to deteriorate, and traffic safety, traffic congestion, and traffic environmental pollution are becoming more and more serious. The focus of urban traffic management will gradually shift from high probability but relatively low harm congestion events to Shift to the strategy of sudden disasters with low probability but high severity. [0003] In particular, the continuous expansion of urban roads and the high concentration of urban land lead to greater hidden dangers of disasters in cities. Once a sudden disaster occurs, if evacuation and timely rescue are not obtained...

AI Technical Summary

Problems solved by technology

However, priority in space does not guarantee that emergency vehicles can reach the accident site quickly, so it is necessary to separate emergency vehicle flow and social traffic flow in time

The research on the signal priority control of emergency rescue vehicles is mainly to set the detector. The system cannot optimize the signal setting according to the predicted vehicle type and flow, such as changing the duration of each phase or adopting a more suitable cycle time and phase sequence. Moreover, once a traffic jam occurs at the intersection, there will be a queue of vehicles. If the rescue vehicle arrives at the intersection and then adjusts the signal display, the queued vehicles at the intersection may not dissipate in time, which will affect their priority. Therefore, there is room for improvement in the existing methods; It mainly focuses on the signal priority control of a single emergency rescue vehicle in a single direction, and there is less research on the multi-phase coordinated priority control of multiple emergency vehicles arriving at an intersection at the same time in multiple directions; Under the condition of phase sequence, adjusting the original signal timing parameters only by shortening the red light time or extending the green light time through the algorithm will interrupt the original signal timing. Restoration work is computationally intensive

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