Modified centralized approach for preventing collision at traffic intersection

Ruchika Chawla, Prateek Thakral, Akshay Kumar Kaura, Kapil O. Gupta
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引用次数: 3

Abstract

Traffic control at intersection is a system where conflict resolution between different lanes is required so that vehicles can access the intersection without hitting each other and also which prevents deadlocks. With the emergence of Vehicular Ad Hoc Networks (VANETs), Intelligent Transportation Systems (ITS) has seen emergence of new algorithms for autonomous cars such as collision detection, traffic maneuver & traffic control at intersection. Traffic light based algorithms use complex computational mechanism such as neural network and machine learning which make these algorithms complex to implement and use. The approach which we are going to discuss in this paper is to model the problem as the Vehicle Mutual Exclusion for Intersections (VMEI) which provides centralized solution to this problem. In VMEI approach number of vehicles that can access the intersection in one pass is not at all defined and it is left to the human intervention, we will call it as threshold. In this paper we will provide solution to threshold problem in centralized approach.
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一种改进的交叉口碰撞集中预防方法
交叉口交通控制是一种需要解决不同车道之间的冲突,使车辆在不发生碰撞的情况下进入交叉口,并防止发生死锁的系统。随着车辆自组织网络(VANETs)的出现,智能交通系统(ITS)已经出现了自动驾驶汽车的新算法,如碰撞检测,交通机动和十字路口交通控制。基于交通灯的算法使用复杂的计算机制,如神经网络和机器学习,这使得这些算法的实现和使用变得复杂。本文讨论的方法是将该问题建模为交叉口车辆互斥(VMEI),该方法为该问题提供了集中的解决方案。在VMEI方法中,一次通过可进入交叉口的车辆数量完全没有定义,留给人为干预,我们称之为阈值。本文将提供集中式方法中阈值问题的解决方案。
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