Systems, methods, and other embodiments described herein relate to generating a notification about a risk of a target vehicle toppling over due to wind. In one embodiment, a method includes determining a wind force of the wind at a location of the target vehicle and determining one or more characteristics of the target vehicle. The method includes determining whether there is a risk of the target vehicle toppling over based on the wind force of the wind and the one or more characteristics of the target vehicle. The method includes generating a notification about the risk.

A processing unit segments the route into a plurality of sections. It is, for each section, obtains a set of route section characteristic values, R.sub.SCV, that will impact the energy consumption of the vehicle whilst driving within the section, obtains a set of vehicle energy consumption values, V.sub.ECV, that will impact the energy consumption of the vehicle whilst driving within the section at least partly based on R.sub.SCV, estimates a first probability distribution, P.sub.1, of the energy consumption for the vehicle whilst driving within the section based on R.sub.SCV, V.sub.ECV, and a first set of traffic information values, T.sub.1, within the section, estimates a second probability distribution, P.sub.2, of the energy consumption for the vehicle whilst driving within the section based on R.sub.SCV, V.sub.ECV, and a second set of traffic information values, T.sub.2, within the section, estimates a traffic flow indicator, I.sub.TF, for the section based on R.sub.SCV, V.sub.ECV and a third set of traffic information values, T.sub.3, within the section, and determines a route section probability distribution, P.sub.RS, of the energy consumption for the vehicle whilst driving within the section based on the relation between I.sub.TF, P.sub.1, and P.sub.2.

Systems, methods, computer-readable media, and apparatuses for providing hazard detection and broadcast functions are provided. In some examples, sensor data may be captured by a mobile device, vehicle, or the like. The data may be used to detect a hazard, identify a type of hazard, and the like. One or more users or groups of users for notification of the hazard may be identified and one or more notifications may be transmitted to users within the group.

An all-one-way network data for autonomous driving is generated according to traffic information of a road data included in a navigation map data. The lane network data for autonomous driving is generated based on the all-one-way network data according to information of a numerical number of lanes in the road data. A virtual lane boundary data is generated based on the all-one-way network data. A position of the lane network data and a position of the virtual lane boundary data are corrected according to a basic road map data and an aerial photograph data.

Various technologies described herein pertain to routing autonomous vehicles based upon spatiotemporal factors. A computing system receives an origin location and a destination location of an autonomous vehicle. The computing system identifies a route for the autonomous vehicle to follow from the origin location to the destination location based upon output of a spatiotemporal statistical model. The spatiotemporal statistical model is generated based upon historical data from autonomous vehicles when the autonomous vehicles undergo operation-influencing events. The spatiotemporal statistical model takes, as input, a location, a time, and a direction of travel of the autonomous vehicle. The spatiotemporal statistical model outputs a score that is indicative of a likelihood that the autonomous vehicle will undergo an operation-influencing event due to the autonomous vehicle encountering a spatiotemporal factor along a candidate route. The autonomous vehicle then follows the route from the origin location to the destination location.

Methods and systems for operating a transport climate control system of a vehicle are provided. The method includes obtaining a state of charge of an energy storage device capable of providing power to the transport climate control system; determining an energy level including the state of charge, receiving a planned route for the vehicle, and receiving route status data associated with the planned route for the vehicle. The route status data includes traffic data, weather data, and/or geographic data identifying areas where the transport climate control system is to be solely powered by the energy storage device. The method further includes determining whether the energy level is sufficient to complete the planned route for the vehicle based on the planned route and the route data, and when the energy level is not sufficient to complete the planned route for the vehicle, providing a notification to a user via a display.

Provided is an estimating system including: at least one memory configured to store computer program code; and at least one processor configured to access said at least one memory and operate according to said computer program code, said computer program code including: via point acquisition code configured to cause the at least one processor to acquire a position of a via point, wherein the route is a path followed by a mobile object when the mobile object moves toward a destination; staying time period code configured to cause the at least one processor to estimate, based on the position of the via point, a staying time period; and arrival time code configured to cause the at least one processor to estimate, by including the staying time period, an arrival time of the mobile object at the destination.

Approaches for determining scheduling assignments for the movement of people along a multi-segment path from a starting location to a destination location, are used to manage crowds, predict crowd behavior, and mitigate crowd turbulence. For example, to mitigate crowd congestion, routing solutions specifying an amount of time to spend at a destination and a departure time can be provided. Itinerary assignments, crowd data, and data associated with an event can be analyzed and weighted to determine scheduling assignments. Scheduling assignments can be validated against current crowd data and event data. Current crowd data and event data and crowd simulation can be used to predict future crowd behavior or crowd problems. Scheduling assignments can be rescheduled to mitigate crowd problems or emergencies.

A vehicle behavior monitor installed in a host vehicle that monitors the behavior of other vehicles. When the behavior of the other vehicles appears to deviate from an expected trajectory of an in-vehicle map, a geo-fenced region is monitored by external sensors. The external sensor data stream is input to a pre-trained anomaly detector. The clusters from the feature space of the encoder are compared to a database of known behaviors. A confidence level is determined based on the number of vehicles which exhibit the behavior. If the confidence level is equal to or greater than a confidence level threshold, a persistence value is calculate based on the type of behavior. The behavior and the persistence value are used to update the in-vehicle map. Based on the persistence value, the update is transmitted to a map server when the host vehicle enters an area of high data connectivity or is dropped.

A vehicle and control method thereof are intended to promote safe driving of a driver by securing a map of surroundings around the vehicle and displaying a guide line for safe driving when the driver needs to display a guide line for safe driving while the vehicle is driving. The control method of the vehicle includes: checking whether a preset condition for generating a map and displaying a guide line is satisfied while the vehicle is driving; and generating a new map of the surroundings around a place where the vehicle is located and displaying the guide line for safe driving on the map when the preset condition for generating the map and displaying the guide line is satisfied.