Abstract: This technology describes one type of CAVH services focusing on fixed-route trips such as commuting, shopping, school, and other trips that users previously travel recurrently and frequently. The technology describes the system architecture of the proposed fixed-route services. The technology includes methods of calibrating, providing, and optimizing the functionalities of such fixed-route services. The detailed methods are proposed for pre-trip, enroute, trip chaining, and post-trip operations, the cyber-physical security, and privacy protection for the users and participating vehicles.

Abstract: A wavefield simulation method for extending the explicit finite-difference stability condition comprises: performing a time-step iteration on the basis of a wave-field numerical simulation model and adopting the spatial filtering method to filter out wave-field components appearing in the high wave number region (S1); when all time-step iterations end, saving wave-field data that obtained from the time iterations (S2); performing the inverse time-dispersion transform on the target wave-field data required to be output from the wave-field data, so as to obtain the wave-field data with time-dispersion removed (S3); and saving the wave-field data after the inverse time-dispersion transform processing (S4). Further provided are an electronic apparatus and a computer-readable storage medium used to implement the wave-field simulation method for extending the explicit finite-difference stability conditions.

Abstract: This technology describes one type of CAVH services focusing on fixed-route trips such as commuting, shopping, school, and other trips that users previously travel recurrently and frequently. The technology describes the system architecture of the proposed fixed-route services. The technology includes methods of calibrating, providing, and optimizing the functionalities of such fixed-route services. The detailed methods are proposed for pre-trip, enroute, trip chaining, and post-trip operations, the cyber-physical security, and privacy protection for the users and participating vehicles.

Abstract: This technology described herein provides embodiments of a cloud-based mobility service system for a Connected Automated Vehicle Highway (CAVH). In some embodiments, the technology provides a cloud-based mobility service system to provide the services and functionalities of different components of a CAVH system including, for example, user, vehicle, infrastructure, system, roadside, and CAVH traffic control layers. Detailed cloud-based data interfaces and services are described for each component, e.g., regarding their data needs to and from the cloud system. Cloud functionalities including the communication, computational, and analytic needs are described for each system component. The CAVH cloud services also provide integrated CAVH functionalities including planning, control, sensing, prediction, and analytics at macroscopic, mesoscopic, and microscopic levels of CAVH systems.

Abstract: This invention describes the detailed implementation of a Connected Automated Vehicle Highway (CAVH) on all roadway types. As CAVH vehicles travel within a transportation network, they will pass through different types of facilities such as basic segment, freeway or arterial segment, traffic bottlenecks, weaving and merging segment, intersections, first- and last-mile segment, parking, bridges, tunnel, multi-modal terminals and etc. Those different segments and nodes within a transportation network sometimes have drastically different geometric, design, and infrastructure characteristics. In this invention, detailed subsystem design will be described for each type of roadway segment for CAVH system to execute the entire trip door-to-door.

Abstract: It is provided a method and a device for acquiring optimization coefficients, and a related method and device for simulating a wave field. Determining whether the values of a discrete variable Kx(i) in the finite difference scheme controlled by the current temporary coefficients {Bn} meet a first condition, the current temporary coefficients {Bn} meeting the condition are selected and are added into a result to be selected; searching for a maximum current discrete value of the discrete variable Kx(i) in the finite difference scheme controlled by the current temporary coefficients {Bn} with the maximum current discrete value satisfying a condition that the values of the discrete variable Kx(i) meet the first condition to determine an accuracy coverage range, and selecting a set of current temporary coefficients {Bn} having the maximum accuracy coverage range as the first-type optimization coefficients {bn}, the first-type optimization coefficients {bn} are found to serve as the optimization coefficients.