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Intelligent road infrastructure system (IRIS): systems and methods

專利號(hào)
US10867512B2
公開日期
2020-12-15
申請(qǐng)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(shù)領(lǐng)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. 4 shows an exemplary Planning and Decision Making function. 401: Raw data and processed data for three level planning. 402: Planning Module for macroscopic, mesoscopic, and microscopic level planning. 403: Decision Making Module for vehicle control instructions. 404 Macroscopic Level Planning. 405 Mesoscopic Level Planning. 406 Microscopic Level Planning. 407 Data Input for Macroscopic Level Planning: raw data and processed data for macroscopic level planning. 408 Data Input for Mesoscopic Level Planning: raw data and processed data for mesoscopic level planning. 409 Data Input for Microscopic Level Planning: raw data and processed data for microscopic level planning.

FIG. 5 shows an exemplary vehicle control flow component. 501: The planning and prediction module send the information to control method computation module. 502: Data fusion module receives the calculated results from different sensing devices. 503: Integrated data sent to the communication module of RSUs. 504: RSUs sends the control command to the OBUs.

FIG. 6 shows an exemplary flow chart of longitudinal control.

FIG. 7 shows an exemplary flow chart of latitudinal control.

FIG. 8 shows an exemplary flow chart of fail-safe control.

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