A method of determining a state of a target object, an electronic device, and a storage medium, relate to fields of a computer technology, cloud computing and Internet of things, and apply to smart cities. The method includes: receiving a transmitted first moving point sequence for the target object, the first moving point sequence including a plurality of target moving point elements, and each target moving point element containing a timestamp information and a displacement information that indicate a stay state of the target object; determining, from the first moving point sequence, a target stay point of the target object, according to the timestamp information and the displacement information; and determining that the state of the target object at the target stay point is an abnormal stay state, in response to a distance between the target stay point and a first preset position being less than a first preset threshold.

Methods, devices and a computer-readable medium comprising instructions for determining applicable traffic regulations for a motor vehicle are provided. In some embodiments, the position and direction of movement of the motor vehicle are determined. The position and direction of movement of the motor vehicle are then transmitted to a back end by a transmission apparatus of the motor vehicle. In response to the information transmitted to the back end, information concerning traffic regulations applicable to the position of the motor vehicle is received by the transmission apparatus. The transmission of the position and direction of movement of the motor vehicle to the back end is carried out in a cyclical manner or in accordance with information concerning the validity of the traffic regulations, which is included in the information concerning the traffic regulations applicable at the position of the motor vehicle.

Methods, devices and a computer-readable medium comprising instructions for determining applicable traffic regulations for a motor vehicle are provided. In some embodiments, the position and direction of movement of the motor vehicle are determined. The position and direction of movement of the motor vehicle are then transmitted to a back end by a transmission apparatus of the motor vehicle. In response to the information transmitted to the back end, information concerning traffic regulations applicable to the position of the motor vehicle is received by the transmission apparatus. The transmission of the position and direction of movement of the motor vehicle to the back end is carried out in a cyclical manner or in accordance with information concerning the validity of the traffic regulations, which is included in the information concerning the traffic regulations applicable at the position of the motor vehicle.

A method for traffic control includes ingesting public transport data with one or more extract-transform-load procedures. A route of a public transport vehicle is reconstructed based on the ingested public transport data. The reconstructed vehicle route is partitioned into discrete route segments, each of the discrete route segments being defined by parameters spanning multiple dimensions. The discrete route segments are clustered into multiple groups based on the respective multidimensional parameters of each of the discrete route segments. The route segments are scored based on the clustering to create a traffic model which is useable to implement traffic control measures or to change mobility infrastructure.

A method for traffic control includes ingesting public transport data with one or more extract-transform-load procedures. A route of a public transport vehicle is reconstructed based on the ingested public transport data. The reconstructed vehicle route is partitioned into discrete route segments, each of the discrete route segments being defined by parameters spanning multiple dimensions. The discrete route segments are clustered into multiple groups based on the respective multidimensional parameters of each of the discrete route segments. The route segments are scored based on the clustering to create a traffic model which is useable to implement traffic control measures or to change mobility infrastructure.

Aspects of the disclosure provide for the evaluation of a scheduling system software for managing autonomous vehicle scheduling and dispatching. For instance, a problem condition for a simulation may be identified. The simulation may be run using the identified problem condition. The simulation may include a plurality of simulated autonomous vehicles each utilizing its own autonomous vehicle control software and map information common to each simulated autonomous vehicle. The problem condition may relate to a particular simulated autonomous vehicle of the plurality. Output of the simulation may be analyzed to determine a score for the scheduling system software. The scheduling system software may be evaluated using the score.

An operating situation obtaining unit obtains the operating situation information of a plurality of operating vehicles along a predetermined route. A delayed vehicle extraction unit extracts a delayed vehicle that is delayed in actual operation relative to the operation schedule from among the plurality of operating vehicles, based on the operating situation information of the respective operating vehicles. An overtaking instruction unit outputs an overtaking instruction to overtake the delayed vehicle to a following vehicle that immediately follows the delayed vehicle.

An information processing apparatus includes a controller. The controller determines, based on a preference of a user of a vehicle that enters a parking lot adjacent to a complex facility having a plurality of shops and a plurality of facility entrances, a shop to be used by the user from among the plurality of shops. The controller determines an entrance to be used by the user from among the plurality of facility entrances based on a position of the shop to be used, and outputs a position of the entrance to be used to the vehicle.

An information processing apparatus includes a controller. The controller determines, based on a preference of a user of a vehicle that enters a parking lot adjacent to a complex facility having a plurality of shops and a plurality of facility entrances, a shop to be used by the user from among the plurality of shops. The controller determines an entrance to be used by the user from among the plurality of facility entrances based on a position of the shop to be used, and outputs a position of the entrance to be used to the vehicle.

A vehicle navigation apparatus is provided. The apparatus includes a vehicle sensor positioned in a front or a rear of a vehicle, the vehicle sensor configured to recognize surrounding information and road information of the vehicle, and a processor configured to identify destination information requested by a user of the vehicle, identify location information of the vehicle through the vehicle sensor, identify the recognized surrounding information and the recognized road information of the vehicle, and identify information about a route according to the identified destination information by controlling the vehicle to identify information about a bus station within a range specified based on the location information of the vehicle and bus information, calculating a degree of congestion of the route, and displaying the calculated degree of congestion through a display device.