摘要:
A novel autonomous driving co-driver switch mode certification system securely determines and certifies an autonomous machine driving mode, which is activated in a permitted route under conditions approved by a regulatory agency. The autonomous driving co-driver switch mode, when enabled, allows a commercial vehicle driver to utilize the vehicle's autonomous driving capability as long as the commercial vehicle driver and the vehicle are also meeting the regulatory agency-defined safety and regulatory requirements before and during the autonomous machine driving mode. The autonomous driving co-driver switch mode is deemed trustworthy and certified by the regulatory agency, if the vehicle's ECU, ELD, and sensory readouts confirm a tamperproof validation of the agency-approvable state of the commercial vehicle driver and the vehicle. The novel autonomous driving co-driver switch mode certification system improves the public trustworthiness of autonomous driving modes intended to increase fleet productivity, fuel efficiency, and safety in commercial vehicles.
摘要:
A novel on-board diagnostics (OBD) protocol interpreter and conversion system is capable of dynamically decoding commonly-known standard OBD formats as well as esoterically-customized and/or non-standard OBD formats that are initially unrecognized by a generic OBD data reader unit. The novel OBD protocol interpreter and conversion system includes an OBD protocol converter (OPC) unit that can be plugged to a vehicle OBD unit for seamlessly converting any types of standard and non-standard OBD formats to an OBD format compatible for real-time remote vehicle monitoring. For the esoterically-customized and/or non-standard OBD formats that cannot be decoded within the OPC alone, an unknown OBD protocol analysis module and a new OBD protocol interpreter development unit that are located remotely outside the vehicle can create installable new OBD interpreter codes, and update the OPC's OBD library and decoding units accordingly to enable seamless decoding of the esoterically-customized and/or non-standard OBD formats.
摘要:
A novel real-time cargo condition management system and a related method of operation utilizes a unique data synchronization between a remote real-time vehicle on-board diagnostics (OBD) monitoring architecture and a radio frequency identification (RFID) tag attached to a cargo container to track real-time conditions of the cargo container. For example, the cargo container's currently-experienced acceleration and interior temperature can be accurately tracked by a remote monitoring station through a unique data synchronization among a vehicle OBD unit in a truck, an RFID reader installed in the cargo holding area of the truck that periodically scans the RFID tag attached to the cargo container, and an OBD data transceiver unit that wirelessly transmits vehicle OBD data correlated to the RFID tag attached to the cargo container. Similarly, the cargo container's location can be accurately tracked by synchronizing the RFID tag information to the OBD data transceiver unit.
摘要:
A novel privacy control-adjustable vehicle monitoring system and a related method of operation provide a dynamically-adjustable access grant or denial of privacy-sensitive vehicle information to a vehicle monitoring personnel based on a driver's response to an electronic request made by the vehicle monitoring personnel. In one embodiment, vehicle information is categorized into a mandatory disclosure dataset and a privacy-adjustable dataset, wherein the mandatory disclosure dataset is disclosed to the vehicle monitoring personnel at all times, while the privacy-adjustable dataset is accessible if the driver grants access via a driver's user interface on an onboard vehicle user interface, or on a mobile electronic device. Furthermore, a special wild card mode visible to the driver enables the vehicle monitoring personnel to access an entire set of vehicle information for a limited period per access and for a limited number of accesses per period, based on a pre-arranged consent with the driver.
摘要:
A novel privacy control-adjustable commercial vehicle ELD and trip data-sharing system and a related method of operation provide a dynamically-adjustable access grant or denial of privacy-sensitive and competitive intelligence-sensitive commercial fleet vehicle operations information to a third-party corporate partner entity of a transportation company, based on a trip data-share authorizer's response to an electronic request made by the third-party corporate partner entity. In one embodiment, vehicle information is categorized into a mandatory disclosure dataset and a privacy-adjustable dataset, wherein the mandatory disclosure dataset is disclosed to a vehicle monitoring personnel or an authorized third-party corporate partner entity at all times within a prespecified time limit, while the privacy-adjustable dataset is only selectively accessible when the trip data share authorizer explicitly grants access via an electronic user interface connected to the privacy control-adjustable commercial vehicle ELD and trip data-sharing system, upon entry of a correct or authenticated partner key.
摘要:
A novel real-time OBD output parameter-based commercial fleet maintenance alert system performs an automated and intelligent analysis of each vehicle's OBD and vehicle sensor output parameters in real time during the operation of the vehicle to determine and alert each fleet vehicle's maintenance needs to an electronic device utilized by a driver or a commercial fleet operator. The commercial fleet maintenance alert system is also capable of performing a machine-level pattern analysis to correlate a previously-alerted maintenance need of a particular vehicle with a subsequent breakdown of the particular vehicle in a commercial fleet to predict a future probability of similar breakdowns by other vehicles in the commercial fleet. In addition, the commercial fleet maintenance alert system is able to generate maintenance status reports and estimate maintenance costs for machine-identified vehicle maintenance needs, which is then compared against actual maintenance costs to improve the accuracy of future cost estimations.
摘要:
A revenue and productivity optimization system includes a service request device, also called a “smart bell,” an environmental sensor near or incased in the service request device, a service request reception device, and a cloud-computing server operating software components for the revenue and productivity optimization system. In one embodiment, one or more environmental variables, such as ambient temperature, humidity, noise levels, brightness, and ambient gas compositions, are measured by one or more environmental sensors, and relevant sensor data are transmitted to the cloud-computing server. The revenue and productivity optimization system correlates the sensor data to bell button press frequencies and intervals from the service request device, and analyzes and determines an optimal threshold or range for those environmental variables for higher revenue and/or productivity of an organization. The revenue and productivity optimization system then creates and transmits recommended actions to a supervising entity of the organization.
摘要:
An electronic alert system and a related method of operation for identifying, determining, and reporting chronically-problematic responses for service request and fulfillment between a service requester and a service performer are disclosed. In one embodiment, the electronic alert system identifies and determines a chronically-problematic response by analyzing two relational data sets. A first set of relational data set correlates time elapsed between a first service request bell press by a service requester from a service request device, and a confirmatory signal of successful service fulfillment from a service request reception device held by the service performer, or from the service request device. Furthermore, a second set of relational data set correlates a number of repeated service request bell presses by the service requester, a time interval between each bell press, and the confirmatory signal of successful service fulfillment from the service request device or the service request reception device.
摘要:
A novel autonomous driving co-driver switch mode certification system securely determines and certifies an autonomous machine driving mode, which is activated in a permitted route under conditions approved by a regulatory agency. The autonomous driving co-driver switch mode, when enabled, allows a commercial vehicle driver to utilize the vehicle's autonomous driving capability as long as the commercial vehicle driver and the vehicle are also meeting the regulatory agency-defined safety and regulatory requirements before and during the autonomous machine driving mode. The autonomous driving co-driver switch mode is deemed trustworthy and certified by the regulatory agency, if the vehicle's ECU, ELD, and sensory readouts confirm a tamperproof validation of the agency-approvable state of the commercial vehicle driver and the vehicle. The novel autonomous driving co-driver switch mode certification system improves the public trustworthiness of autonomous driving modes intended to increase fleet productivity, fuel efficiency, and safety in commercial vehicles.
摘要:
An intelligent machine sensing and machine learning-based commercial vehicle insurance risk scoring system utilizes in-vehicle sensors, OBD outputs, and electronic driver logs from real-time monitored commercial vehicles as well as accident-causality historical statistics to produce an accurate insurance risk score per monitored vehicle and its driver. The insurance risk score generated by the intelligent machine sensing and machine learning-based commercial vehicle insurance risk scoring system incorporates multiple insurance risk factors with a variable weighting ratio per factor, which is multiplied by a numerical value per factor, wherein each weighting ratio may be autonomously machine-determined based on the significance of each insurance risk factor to a likelihood of an actual accident or another safety event. Furthermore, the insurance risk score per monitored vehicle or commercial driver is objectively comparable to peer vehicles or drivers in a commercial fleet organization, and can undergo min-max feature scaling in deriving each finalized score.