A mobile device initiates automatic action-based product provisioning for rides. The mobile device detects a ride protection trigger and alerts a management server of the detected ride protection trigger. The mobile device also retrieves ride information from a ride application and sends the ride information to the management server. The management server determines a ride action based on the ride protection trigger and the ride information. The management server identifies a product based on the determined ride action and sends the ride information and a request for a dynamic product to a product provisioning server. The product provisioning server generates the dynamic product based on the request and the ride information and sends the generated dynamic product to the management server. The management server may send the dynamic product to the mobile device for display.

This disclosure relates generally to method and system for detecting on-street parking violations. The method include capturing, by using an media capturing device embodied in an electronic device mounted in a vehicle, a video stream of a scene during a trip of the vehicle. The video stream is processed at the electronic device to identify target objects such as no-parking signage and vehicles parked in the vicinity thereof. A meta-information associated with the target objects is stored in form of a short-term historian in a repository associated with the electronic device. The absolute locations of the target objects are determined and the historian is updated with the values of the absolute locations. A set of unique target objects is determined from amongst the target objects and a meta-information associated with the unique objects is sent to a cloud server for determining parking violations.

Embodiments of the invention relate to a method for transport assignment planning and a system for transport assignment planning. More specifically, embodiments of the method comprise receiving a transport assignment having a start point and an end point, receiving vehicle information about the status of a plurality of electric vehicles in a vehicle fleet. The vehicle information comprises a state of charge for each battery pack of each vehicle. Further, route information is received about a plurality of possible road routes between the start point and the end point. The route information includes information about expected power consumption for each vehicle for each route. Next, a number of required charge cycles for each vehicle for each road route is determined and based on this determination, a road route and a vehicle are assigned such that an assigned vehicle and route is selected from a sub-group of electric vehicles which can complete the transport assignment with a number of charge cycles that is below a predefined threshold. Embodiments of the invention enable optimizing battery pack performance and thereby increasing the lifetime for the battery packs of autonomous or semi-autonomous vehicles in a transport environment.

An example operation may include one or more of parking a transport in an initial space, determining an average time of an event attended by at least one occupant associated with the transport, moving the transport to at least one other space when an elapsed time of the event is less than the average time and when the at least one other space is available and closer to an event location than the initial space, and moving the transport to a final space when the event is completed, and the final space is a location of a device associated with the at least one occupant.

A computing system can detect high capacity vehicles (HCVs) coming online to provide transport services. The computing system monitors transport demand for HCV corridors throughout a geographic region. Each HCV corridor comprises a plurality of possible rendezvous locations and a plurality of possible routes that can be traveled by individual HCVs through the HCV corridor, as opposed to having fixed routes with fixed stops. The computing system can determine a schedule for each HCV corridor, and monitor supply flow of HCVs traveling through each HCV corridor. Based on (i) the transport demand, (ii) the schedule, and (iii) the supply flow of the HCVs for each of the HCV corridors, the computing system can match the HCV with a specified HCV corridor, and transmit match data indicating a start zone of the matching HCV corridor to the computing device of the HCV.

According to the invention, a method is provided for preparing, in particular for assembling and packaging, ingredients for at least one dish. This method comprises the following steps: a reading step in which a customer's order data are read, this order data comprising at least recipe data for the ingredients contained in the dish as well as customer data, an assigning step in which at least one ingredient container is assigned predefined customer data, a conveying step in which the ingredient container is conveyed to a transport device of a packaging line, a positioning step in which at least one ingredient container is positioned in the region of a loading station of the packaging line by means of the transport device, this loading station having at least two ingredients or three, four, or more ingredients kept on hand in corresponding ingredient compartments, an indicating step in which corresponding indicators of the ingredient container and ingredient compartments indicate whether they are included in the recipe data, a loading step in which, if the ingredients are included in the recipe data, the ingredient container is loaded with the corresponding ingredient or ingredients in the loading station, the repetition and execution of the positioning step, the indicating step, and the loading step until all of the ingredients included in the recipe data have been placed in the ingredient container.

Methods and systems are provided for improving the manner in which different fuel types are used under different driving scenarios. In one example, a method may include determining a travel route based on a particular transportation request input by a customer into a software application, where the software application selects a vehicle from a plurality of available vehicles to fulfill the transportation request based on a relative fuel octane content of fuel stored by the available vehicles. In this way, appropriate fuel type usage for different driving scenarios may be improved, and non-appropriate fuel type usage may be avoided.

An information processing apparatus according to an embodiment includes a diagram processor configured to calculate, based on a first diagram of first to n-th train lines including at least one time of: times of departure of a vehicle from stop positions, times of arrival of the vehicle at the stop positions, and times of pass of the vehicle through the stop positions, an adjustment amount of the time; and an output diagram creator configured to create a second diagram based on the calculated adjustment amount and the first diagram.

Techniques and examples pertaining to baggage transportation in a vehicle-sharing environment are described. An automotive vehicle may have a plurality of baggage compartments each respectively having a size capacity and a weight capacity. The vehicle may also have a plurality of sensors capable of monitoring a loading situation of the plurality of baggage compartments. The vehicle may further have a memory element capable of storing capacity data representing the loading situation, as well as a processor capable of updating the capacity data in an event that the loading situation is changed due to a baggage having been loaded to, or unloaded from, a baggage compartment of the plurality of the baggage compartment. The automotive vehicle may be an autonomous ride-sharing vehicle.

An example operation may include one or more of identifying various transports with an assigned destination location, determining the transports assigned to the destination location exceeds a number of available parking spaces at the destination location, identifying alternative parking spaces in an area adjacent to the destination location, and assigning at least one of the alternative parking spaces to at least one of the transports based on a priority of the at least one transport.