Real-time traffic monitoring with connected cars

Abstract

This application relates to real-time traffic monitoring using connected cars. The connected vehicle includes: a first sensor that captures first sensor data to identify one or more dynamic characteristics of the connected vehicle; and a second sensor that has a first perspective directed toward the outside environment and captures reflections of the unconnected vehicle and one or more Second sensor data for a plurality of roadside infrastructure. The second sensor data from the connected vehicle is processed to identify the unconnected vehicle and one or more roadside infrastructure, and to determine one or more dynamic characteristics of the unconnected vehicle. The dynamic road map is generated based on the determined one or more dynamics of the connected vehicle, one or more dynamics of the unconnected vehicle, and one or more roadside infrastructure. The first vehicle platform, the second vehicle platform, and / or another vehicle platform relative to the first vehicle platform or the second vehicle platform may be navigated based on the dynamic road map.

Description

technical field [0001] The present disclosure relates to traffic surveillance. In a more specific example, the present disclosure relates to real-time traffic monitoring utilizing multiple connected cars. Background technique [0002] With the increasing number of connected vehicles (CVs) on the road and the development of roadside wireless communication devices, it becomes possible to use CVs to monitor traffic conditions in real time. However, the low penetration rate of CVs and the high cost of installing and maintaining roadside infrastructure limit their application. For example, for GPS-based connected vehicle systems, detecting many traffic characteristics, such as vehicle queue lengths, intersection delays, roadside construction, etc., is not appropriate. Its low market penetration further prevents systems from collecting comprehensive traffic information for real-time monitoring of traffic. For another system based on roadside wireless communication equipment, th...

AI Technical Summary

Problems solved by technology

For another system based on roadside wireless communication equipment, the high cost prevents its large-scale implementation, and the traffic conditions in places where the system is not installed (such as highway sections, uninterrupted arterial corridors, etc.) under surveillance

Furthermore, it is not possible to describe vehicle dynamics such as velocity and acceleration in this system

Other existing systems including inter-vehicle communication based traffic link systems for congestion estimation and some floating car data based systems for road link speed and congestion estimation also face low penetration, and when capturing certain traffic characteristics Problems with limited accuracy and limited capacity, and therefore also unable to provide comprehensive real-time monitoring of traffic conditions

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