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Intelligent road infrastructure system (IRIS): systems and methods

專利號
US10867512B2
公開日期
2020-12-15
申請人
CAVH LLC（US WI Fitchburg）
發(fā)明人
Bin Ran; Yang Cheng; Shen Li; Zhen Zhang; Fan Ding; Huachun Tan; Yuankai Wu; Shuoxuan Dong; Linhui Ye; Xiaotian Li; Tianyi Chen; Kunsong Shi
IPC分類
G08G1/09; G08G1/0967; B60W30/165; G08G1/16
技術領域
rsu,rsus,module,vehicle,lane,iris,tcu,tcc,data,traffic
地域： WI WI Fitchburg

摘要

The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, and route guidance. IRIS systems and methods also manage transportation operations and management services for both freeways and urban arterials. In some embodiments, the IRIS comprises or consists of one of more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicle onboard unit (OBU), (4) traffic operations centers (TOCs), and (5) cloud information and computing services. The IRIS manages one or more of the following function categories: sensing, transportation behavior prediction and management, planning and decision making, and vehicle control. IRIS is supported by real-time wired and/or wireless communication, power supply networks, and cyber safety and security services.

說明書

FIG. 13 shows an exemplary IRIS Computation Flowchart. 1301: Data Collected From RSU, including but not limited to image data, video data, radar data, On-board unit data. 1302: Data Allocation Module, allocating computation resources for various data processing. 1303 Computation Resources Module for actual data processing. 1304 GPU, graphic processing unit, mainly for large parallel data. 1305 CPU, central processing unit, mainly for advanced control data. 1306 Prediction module for IRIS prediction functionality. 1307 Planning module for IRIS planning functionality. 1308 Decision Making for IRIS decision-making functionality. 1309 data for processing with computation resource assignment. 1310 processed data for prediction module, planning module, decision making module. 1311 results from prediction module to planning module. 1312 results from planning module to decision making module.

FIG. 14 shows an exemplary Traffic and Lane Management Flowchart. 1401 Lane management related data collected by RSU and OBU. 1402 Control target and traffic information from upper level IRIS TCU/TCC network. 1403 Lane management and control instructions.

FIG. 15 shows an exemplary Vehicle Control in Adverse Weather component. 1501: vehicle status, location and sensor data. 1502: comprehensive weather and pavement condition data and vehicle control instructions. 1503: wide area weather and traffic information obtained by the TCU/TCC network.

權利要求

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