Abstract: An example operation may include one or more of detecting, by a parking processing node, a parking of a transport at an event location, accessing, by the parking processing node, a device of a transport occupant to determine a transport pickup location and a pickup time based on a conclusion of an event, detecting, by the parking processing node, from the device of the transport occupant at least one modification of the pickup location and the pickup time made based on an updated conclusion of the event, and sending a command to move the transport to a location proximate to the event based on the modified pickup location and the modified pickup time.

Abstract: An example operation may include one or more of detecting, by a parking processing node, a parking of a transport at an event location, accessing, by the parking processing node, a device of a transport occupant to determine a transport pickup location and a pickup time based on a conclusion of an event, detecting, by the parking processing node, from the device of the transport occupant at least one modification of the pickup location and the pickup time made based on an updated conclusion of the event, and sending a command to move the transport to a location proximate to the event based on the modified pickup location and the modified pickup time.

Abstract: An example operation may include one or more of sending, by a transport, a drop off request to a plurality of nodes at a target location, receiving, by the transport, permissions from the plurality of the nodes, responsive to the permissions, acquiring, by the transport, an agreement for the drop off request from at least one node from the plurality of the nodes, and recording the drop off request on a remote storage.

Abstract: An example operation may include one or more of detecting, by a parking processing node, a parking of a transport at an event location, accessing, by the parking processing node, a device of a transport occupant to determine a transport pickup location and a pickup time based on a conclusion of an event, detecting, by the parking processing node, from the device of the transport occupant at least one modification of the pickup location and the pickup time made based on an updated conclusion of the event, and sending a command to move the transport to a location proximate to the event based on the modified pickup location and the modified pickup time.

Abstract: Systems and methods for vehicle-based weather detection are disclosed herein. The systems and methods can include selecting one or more vehicles from a plurality of vehicles based on one or more network membership parameters. One or more data acquisition networks can be formed using the one or more selected vehicles. Sensor data can be received from the one or more data acquisition networks. One or more weather conditions can be predicted using the sensor data. One or more environmental elements can be updated based on the predicted weather conditions.

Abstract: An example operation may include one or more of receiving, by a node, a request for a transfer of a transport to a location, passing, by the node, the request to a plurality of nodes, receiving permissions from the plurality of the nodes, responsive to the permissions, sending a request to at least one node from the plurality of the nodes based on the location, and recording, by the node, the transfer of the transport to the at least one node on a remote storage.

Abstract: Systems and methods for roadway obstruction detection are disclosed herein. One embodiment receives information pertaining to a potential roadway obstruction; determines that additional information regarding the potential roadway obstruction is needed to identify the potential roadway obstruction; selects one or more vehicles from a plurality of vehicles based, at least in part, on their proximity to the potential roadway obstruction and their sensor capabilities; and determines that the potential roadway obstruction is a specific type of roadway obstruction based, at least in part, on additional information regarding the potential roadway obstruction received from at least one of the selected one or more vehicles.

Abstract: An example operation may include one or more of receiving, by a destination processing node, a notification from a transport regarding a probable vacancy, determining, by the destination processing node, a probable time of availability and a location of the vacancy based on the notification, querying, by the destination processing node, a plurality of transports in a proximity of the vacancy, and assigning the location of the vacancy to a specific transport of the plurality of the transports.

Abstract: An example operation may include one or more of detecting, by a parking processing node, a parking of a transport at an event location, accessing, by the parking processing node, a device of a transport occupant to determine a transport pickup location and a pickup time based on a conclusion of an event, detecting, by the parking processing node, from the device of the transport occupant at least one modification of the pickup location and the pickup time made based on an updated conclusion of the event, and sending a command to move the transport to a location proximate to the event based on the modified pickup location and the modified pickup time.

Abstract: An example operation may include one or more of receiving, by a destination processing node, a notification from a transport regarding a probable vacancy, determining, by the destination processing node, a probable time of availability and a location of the vacancy based on the notification, querying, by the destination processing node, a plurality of transports in a proximity of the vacancy, and assigning the location of the vacancy to a specific transport of the plurality of the transports.

Abstract: An example operation may include one or more of querying, by a transport, a plurality of transports within a parking area for a parking spot to be vacated, receiving, by the transport, verification to vacate the parking spots from the plurality of transports within the parking area, and determining, by the transport, locations of the parking spots to be vacated based on the verifications.

Abstract: An example operation may include one or more of querying, by a transport, a plurality of transports within a parking area for a parking spot to be vacated, receiving, by the transport, verification to vacate the parking spots from the plurality of transports within the parking area, and determining, by the transport, locations of the parking spots to be vacated based on the verifications.

Abstract: Systems and methods are provided for determining navigation routing of a vehicle based on predicted total cost of possible routes, including: receiving information identifying a destination for a vehicle; determining two or more possible routes from a origination to the destination; determining a plurality of cost factors for a plurality of the determined possible routes, wherein the cost factors comprise direct cost information for the plurality of determined possible routes and indirect cost information for the plurality of determined possible routes; calculating a total cost for each of the plurality of determined possible routes using the cost factors; and presenting to the user a lowest-total-cost route from among the plurality of determined possible routes.

Abstract: A vehicle sharing service system for proactive marketing of a vehicle sharing service includes one or more processors, a network access device, and a memory device, wherein the network access device and the memory device are in communication with the one or more processors. The memory device stores a customer location module and a communications module. The customer location module causes the one or more processors to determine when at least one mobile device of at least one potential customer is located within a predetermined distance to one or more vehicles of the vehicle sharing service. The communications module causes the one or more processors to transmit offer information for using the one or more vehicles to the at least one mobile device of the at least one potential customer when located within the predetermined distance to the one or more vehicles.

Abstract: Systems and methods for roadway obstruction detection are disclosed herein. One embodiment receives information pertaining to a potential roadway obstruction; determines that additional information regarding the potential roadway obstruction is needed to identify the potential roadway obstruction; selects one or more vehicles from a plurality of vehicles based, at least in part, on their proximity to the potential roadway obstruction and their sensor capabilities; and determines that the potential roadway obstruction is a specific type of roadway obstruction based, at least in part, on additional information regarding the potential roadway obstruction received from at least one of the selected one or more vehicles.

Abstract: An example operation may include one or more of monitoring data when the data is associated with at least one detected behavior of a first user, quantifying the at least one detected behavior into a first value, sending the first value to a first server and a second server, comparing the first value to a first threshold at the first server, comparing the first value to a second threshold at the second server, determining whether to increment a first score at the first server and a second score at the second server, when the first value is greater than one or more of the first threshold and the second threshold, and determining whether to decrement the first score at the first server and the second score at the second server, when the first value is less than one or more of the first threshold and the second threshold.

Abstract: An example operation may include one or more of receiving, by a node, a request for a transfer of a transport to a location, passing, by the node, the request to a plurality of nodes, receiving permissions from the plurality of the nodes, responsive to the permissions, sending a request to at least one node from the plurality of the nodes based on the location, and recording, by the node, the transfer of the transport to the at least one node on a remote storage.

Abstract: An example operation may include one or more of sending, by a transport, a request for a drop off location to a plurality of transports, responsive to permissions from the plurality of the transports, acquiring, by the transport, a drop off confirmation from at least one rental center node based on the drop off location and on an arrival time stamp, and recording the drop off confirmation on a remote storage.

Abstract: An example operation may include one or more of sending, by a transport, a drop off request to a plurality of nodes at a target location, receiving, by the transport, permissions from the plurality of the nodes, responsive to the permissions, acquiring, by the transport, an agreement for the drop off request from at least one node from the plurality of the nodes, and recording the drop off request on a remote storage.

Abstract: An example operation may include one or more of monitoring data when the data is associated with at least one detected behavior of a first user, quantifying the at least one detected behavior into a first value, sending the first value to a first server and a second server, comparing the first value to a first threshold at the first server, comparing the first value to a second threshold at the second server, determining whether to increment a first score at the first server and a second score at the second server, when the first value is greater than one or more of the first threshold and the second threshold, and determining whether to decrement the first score at the first server and the second score at the second server, when the first value is less than one or more of the first threshold and the second threshold.