Expressway traffic capacity calculation method considering automatic driving vehicles of different standards

Abstract

The invention relates to an expressway traffic capacity calculation method considering automatic driving vehicles of different systems. The expressway traffic capacity calculation method comprises the following steps: S1, setting three types of motor vehicles including human-driven vehicles, single-vehicle intelligent automatic driving vehicles and intelligent network-connected automatic driving vehicles in a road section traffic flow; S2, carrying out statistics on a research object road section to obtain occupancy rates of three types of motor vehicles; S3, respectively actually measuring and acquiring probability distribution functions of time headways when three types of motor vehicles are used as rear vehicles and following vehicles; S4, listing a road section traffic capacity calculation formula considering the mixing of the automatic driving vehicle; S5, carrying out simulation by adopting mathematical software, and obtaining a probability distribution function of the highway lane traffic capacity C considering the mixing of automatic driving vehicles of different systems; and S6, adopting deterministic expression and probabilistic expression as expression modes of the traffic capacity. Multiple automatic driving systems are considered, the calculation method is simplified, the calculation efficiency is improved, and the probability expression of the traffic capacity is innovatively given.

Description

technical field [0001] The invention relates to the technical field of traffic system analysis of road vehicles, in particular to a calculation method for expressway traffic capacity considering different types of self-driving vehicles. Background technique [0002] Capacity is one of the core concepts of traffic engineering, and it is also the theoretical cornerstone of traffic planning, traffic design, traffic management and control. As autonomous vehicles are mixed into the traffic flow of human driving vehicles (HDV), especially autonomous vehicles can be divided into single-vehicle intelligent autonomous vehicles (Autonomous Vehicle, AV) and intelligent network-linked autonomous vehicles (Connected Autonomous Vehicles). ,CAV), the existing capacity algorithm has shown its incompatibility. Since the expressway is a free flow, the traffic environment is relatively simple compared with urban roads, so the current promotion of autonomous vehicles often starts from the expr...

AI Technical Summary

Problems solved by technology

As autonomous vehicles are mixed into the traffic flow of human driving vehicles (HDV), especially autonomous vehicles can be divided into single-vehicle intelligent autonomous vehicles (Autonomous Vehicle, AV) and intelligent network-linked autonomous vehicles (Connected Autonomous Vehicles). ,CAV), the existing capacity algorithm has shown its inadaptability

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