Expressway entrance ramp control method and system based on heterogeneous traffic scene

Abstract

The invention discloses an expressway entrance ramp control method and system based on a heterogeneous traffic scene. The method comprises the following steps: detecting the number Q1 of vehicles at the downstream of a main road junction point; if Q1 is smaller than the number Q of vehicles reaching the congestion threshold at the downstream of the main road confluence point, obtaining the shortest time T1 for the first vehicle at the outermost side of the upstream of the main road to reach the confluence point; detecting the number Q2 of queuing vehicles on the side road; if Q2 is less than or equal to Q-Q1, estimating the time T2 for Q2 vehicles on the side road to enter the main road; if T1 is greater than T2, the green light turn-on time is T2; otherwise, the green light turn-on time is T1; if Q2 is greater than Q-Q1, estimating the time T3 for Q-Q1 vehicles on the side road to enter the main road; if T1 is greater than T3, the green light turn-on time is T3; otherwise, the green light turn-on time is T1. According to the control method and system, the passing efficiency of the convergence area of the main road and the side road of the urban expressway entrance ramp and the operation efficiency of the urban expressway network under the heterogeneous traffic scene are improved, resource allocation is optimized, urban traffic is relieved and safe driving is guaranteed.

Description

technical field [0001] The invention relates to the technical field of urban intelligent traffic and signal control, in particular to an expressway entrance ramp control method and system based on heterogeneous traffic scenarios. Background technique [0002] In the continuous development of autonomous driving technology, there will inevitably be scenes where traditional human-driven vehicles and autonomous vehicles of different levels are mixed; some driving rules of autonomous vehicles are different from the driving habits of human drivers, and this difference It is often the cause of collisions between self-driving cars and human-driven vehicles. Most of the previous studies focused on self-driving single vehicles or the same type of self-driving multi-vehicles, and did not consider the coupling characteristics between self-driving vehicles and traditional human-driving vehicles, as well as the operation rules of traffic flow under the condition of mixed-in self-driving v...

AI Technical Summary

Problems solved by technology

Most of the previous studies focused on self-driving single vehicles or the same type of self-driving multi-vehicles, and did not consider the coupling characteristics between self-driving vehicles and traditional human-driving vehicles, as well as the operation rules of traffic flow under the condition of mixed-in self-driving vehicles.

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