15246 results about "Transport engineering" patented technology

An embodiment related to a system, wherein the system is operable to determine a road surface condition, wherein the road surface condition is at least one of an ice, wet, and snow; adjust, a safe distance value of the host vehicle based on the road surface condition; detect a vehicle type, a speed, and a visible roof area of a target vehicle; determine an uphill road that the host vehicle is approaching; determine that the target vehicle is slowing down based on a change in speed of the target vehicle in real-time; and determine, a collision avoidance action for the host vehicle to avoid a collision with the target vehicle.

A system and method for integrated optimization of autonomous electric vehicle fleets across transportation and electricity networks which employs artificial intelligence to dynamically allocate autonomous electric vehicles between mobility services and electricity grid services based on real-time conditions. The platform acquires data including energy mix forecasts, earth observation measurements, vehicle owner schedules, and emission-based route penalties to generate coordinated allocation decisions. Vehicle owners specify availability through a scheduling interface. The system optimizes vehicle utilization through a hierarchical optimization approach implementing mobility demand-side flexibility and electricity demand-side flexibility simultaneously. Multi-objective genetic algorithm optimization balances revenue generation, energy costs, emissions reduction, and battery health. The integrated approach maximizes value creation across both transportation and energy domains, reducing urban emissions while enhancing grid stability through coordinated management of distributed energy resources in autonomous electric vehicle fleets.

A road safety system with a virtual animal crossing alert system, a portable road safety device, and a virtual road sign display system. The animal crossing alert system uses an AI module on a server to analyze real-time data on wildlife, weather, and traffic to predict animal presence and send alerts to a safety device on a vehicle when the likelihood is high. The portable device may connect to smartphones, physical buttons for user input, a camera interface for capturing road events, and vibration alerts and navigation apps. The portable device enables reporting of road hazards. The virtual road sign system processes data to determine optimal display times and rewards accurate data reporting with fungible tokens issued on a distributed ledger. The system integrates data from various sources, including user reports and distributed ledger NFTs, to provide timely, relevant alerts and information to drivers, improving overall road safety.

This application discloses a method, system, and related equipment for intelligent energy management of new energy vehicles. Based on the vehicle's starting and ending points, at least one candidate energy-saving path is determined. The predicted energy consumption of the vehicle along at least one candidate energy-saving path is lower than that of other paths. The total energy consumption is predicted based on road condition information and energy consumption impact information for each path. In response to the selection of at least one candidate energy-saving path, a preset travel route is determined. The preset travel route includes multiple road segments, and the total energy consumption includes the energy consumption of each road segment. With the goal of minimizing fuel consumption along the preset travel route, the engine's operating state is controlled based on the initial state of charge (SOC) of the power battery in each road segment, the energy consumption of the road segment, and the vehicle's actual overall demand, ensuring the engine operates within its high-efficiency range. Using this application can reduce fuel consumption for users and improve the driving experience.

System and methods are disclosed for navigating a host vehicle. In one implementation, at least one processing device may be programmed to receive a plurality of images representative of an environment of the host vehicle, identify, in at least one of the plurality of images a representation of, a target vehicle, determine a separation distance between the host vehicle and the target vehicle, if the separation distance is less than a comfort distance threshold, cause a reduction in a throttle level associated with a throttle system of the host vehicle without activating a braking system associated with the host vehicle, and if the separation distance is determined to be greater than but trending toward a safe distance threshold, which is less than the comfort distance threshold, cause activation of the braking system associated with the host vehicle.

A vehicle roof having a support on the vehicle body shell, a roof module disposed on the support and having a roof skin, and a sensor system having at least one sensor module having at least one environment sensor for detecting a vehicle environment, the environment sensor being disposed in a lateral edge area of the roof module associated with a lateral roof edge and being covered by the roof skin, the roof skin having a sensor see-through area for the environment sensor, the sensor see-through area being oriented in the transverse roof direction and being situated higher than the associated roof edge or an adjacent area of the associated roof edge and / or being located above the associated roof edge.

Various systems and methods are presented regarding utilizing technology onboard a first vehicle to reduce probability of a second vehicle being further involved in a traffic accident occurring between the first vehicle and a third vehicle. The first vehicle can transmit a notification to the second vehicle, wherein the notification can provide details regarding the collision, collision location, vehicles involved, etc. The second vehicle, operating autonomously, can self-adjust operation to avoid being involved in the accident, e.g., the first vehicle and third vehicle are in a rear-end collision, which the second vehicle can navigate to avoid. The second vehicle can, for example, self-determine whether a safe braking distance can be achieved, navigation into an adjacent lane, warn other vehicles of the collision. Accordingly, autonomous vehicles can reduce probability of pile-up collisions occurring.

The invention provides a rooftop tent for a vehicle which includes a base detachably fixed to a roof of the vehicle, which includes a first load bearing panel and a perimeter frame which engages a perimeter of the first panel, a base extension rotatably connected to the base, a cover rotatably connected to the base to open and close on an upper surface of the base, which includes a second load bearing panel and a sidewall which extends between an upper edge and a lower edge, which engages the second flat at the upper edge, a tent unit connected to the base plate and the cover and which moves from a folded configuration when the cover is closed and the base extension is in a retracted position, to an open configuration when the cover is open and the base extension is in an extended position.

Network congestion occurs when the volume of data to be sent from one node to another, in a given time, exceeds the network's capacity. While all networks are susceptible to congestion, a wireless network of vehicles / moving vehicles are particularly sensitive as any delays in offloading acquired data may cause the vehicles / moving vehicles to pause operations (e.g., hover or land and later return to a location) while waiting to send data. By monitoring data buffer size and / or other system attributes, a measure of how successful data transmission is a corresponding degree of network congestion. When network congestion is present congestion mitigating actions are taken.

A system for detecting and addressing security threats is disclosed. The system detects incoming network traffic to a computing device. The system detects physical and digital effects of the network traffic on the computing device. The system determines that the network traffic is causing a first set of anomalies based on the physical and digital effects of the network traffic. The system compares the first set of anomalies with a second set of anomalies associated with previously known malicious network traffic. If the system determines that more than a threshold percentage of the first set of anomalies corresponds to counterpart anomalies from the second set of anomalies, the system determines that the network traffic corresponds to the malicious network traffic. The system communicates a security patch associated with the second set of anomalies and instructions that cause the security patch to be executed to the computing device.

The present application discloses a method, system, and computer system for providing a unified map and performing an active measure for re-routing transport based on one or more hazards along a current route. The method includes obtaining context information for a managed vehicle, obtaining map data, determining, based at least in part on the context information and the map data, whether the managed vehicle is parked in an unsafe location, in response to determining that the managed vehicle is parked in the unsafe location, determining whether to perform an active measure with respect to the managed vehicle, and in response to determining to perform the active measure, performing the active measure.

Provided is a driving assistance device allowing, when a vehicle is parked in a parking lot, provision of driving assistance based on an appropriate travel path. The device is configured such that when a vehicle is parked in a parking lot, an intra-parking-lot network representing a route that can be selected by the vehicle in the parking lot is obtained. Using this network, a candidate entry path for a vehicle's travel path from an entrance to the parking lot to a parking location is generated and obtained using the intra-parking-lot network based on a first condition. If determined that the condition for suitability is not satisfied, the candidate entry path determined not to satisfy the condition for suitability is modified based on a second condition different from the first condition and driving assistance is provided based on the modified candidate entry path.

The invention relates to a big data-based passenger-roll transport demand prediction and ship intelligent scheduling method and system. The method comprises the steps of obtaining multi-source shipping data for a target area; inputting the multi-source shipping data into the spatial-temporal feature mining model, and predicting passenger rolling transportation demand information of the target area; acquiring ship real-time position, passenger carrying capacity, energy consumption data and port real-time operation state in the target area, and dynamically generating an optimal scheduling scheme by adopting a shipping scheduling model in combination with the predicted passenger transport demand information; the shipping scheduling model is obtained by interacting a decision scheduling model with an intelligent agent corresponding to the passenger roller transportation system and performing iterative training by adopting a reinforcement learning algorithm; and converting the optimal scheduling scheme into visual information, pushing the visual information to operation terminals of the ship and port workers so as to start corresponding shipping scheduling operation, and monitoring the execution effect of the shipping scheduling operation in real time.

Systems and methods for cloud-based computer-aided dispatch (CAD) of emergency medical services (EMS) include receiving real-time EMS vehicle location tracking information from and sending an EMS vehicle assignment to a vehicle of an EMS agency, and communicatively coupling to a computing system associated with the EMS agency to provide services including request intake configured to receive a request for a patient's EMS trip, a dispatch GUI hosted at the EMS agency, and a dispatch code service for determining dispatch code(s) for the EMS trip based on the request. The dispatch GUI may include an interactive graphical map, and a data entry window for capturing trip information. Based on a user-selected position on the map, a portion of the trip information may automatically populate in the data entry window. The vehicle may be assigned using the trip information, the real-time vehicle location tracking information, the request, and the dispatch code(s).

The invention discloses a control method and system of a vehicle, the vehicle and a computer program product. The method comprises the following steps: acquiring road information of a to-be-controlled vehicle in a current driving direction; in response to the fact that the road information shows that an abnormal road surface object exists in the current driving direction, position information of the abnormal road surface object and a driving track of the to-be-controlled vehicle in a future time period are obtained, and under the condition that wheels of the to-be-controlled vehicle pass through the abnormal road surface object, impact force borne by the wheels of the to-be-controlled vehicle is larger than an impact force threshold value; determining a current distance between the wheel and the abnormal road surface object in response to the position information included in the driving track; based on the current distance, damping force corresponding to the wheels is adjusted before the wheels run to the abnormal road surface object; and the adjusted wheels are controlled to run through the abnormal road surface object, so that the impact force borne by the adjusted wheels is smaller than or equal to the impact force threshold value. The technical problem that the control effect of the vehicle is poor is solved.

For generating driving scenarios for testing an autonomous vehicle planner in a simulation environment, a scenario model comprises a scenario variable and a distribution associated with the scenario variable. The scenario variable is a road layout variable. Multiple sampled values of the scenario variable are computed based on the distribution associated the scenario variable. Based on the scenario model, multiple driving scenarios are generated for testing an autonomous vehicle planner in a simulation environment, each driving scenario comprising a road layout generated using a sampled value of said multiple sampled values of the scenario variable.

A vehicle system includes: a controller configured to communicate with a map server; and a vehicle position acquiring device configured to acquire own vehicle position information. The controller includes: a vehicle position determining unit configured to determine a lane in which an own vehicle is traveling based on the own vehicle position information; a recommended lane determining unit configured to determine a recommended lane; and a storage unit configured to store preference of an occupant including preference for a timing of a lane change of the occupant. The recommended lane determining unit is configured to set a priority of each lane based on map information, determine the lane having a highest priority as the recommended lane, and adjust a switching point of the recommended lane according to the preference stored in the storage unit.

The invention discloses a lighting data management system and method for street lamp networking, relates to the field of lighting data management, and aims to solve the problem of waste of lighting resources. The technical scheme is characterized in that all street lamp nodes are networked according to physical positions, and a geographic information database is constructed; collecting motion data of a moving target and environment illumination intensity data; when the moving target is detected to be a pedestrian or a vehicle, switching the current street lamp node and the adjacent street lamp node to a normal mode; predicting the trajectory of the moving target, and calculating the number of street lamps needing to be turned on in advance according to the moving target speed and the safety response time; when the moving target approaches the intersection, the street lamp nodes of the intersection branches are converted from an energy-saving mode to a normal mode; and when the moving target leaves the detection range of the sensor, the street lamp nodes of the branch paths which are not actually passed are recovered to the energy-saving mode, so that on-demand illumination is achieved, and the effect of reducing the energy consumption of the street lamp is achieved.

A dense charging station for charging the battery may have lanes arranged in parallel, and each of the lanes may have sequential charging locations. A vehicle utilizing the charging station may position itself at the first available charging location, being receiving energy, and determine if a subsequent charging station becomes available in the lane, and then position itself at the subsequent charging location, once available. Multiple charging stations may be required to maintain a threshold power state for individual vehicles in a fleet of vehicles providing a service for a geographic region. A charging coordinator may determine when a battery of a vehicle does not satisfy a threshold power state and requires a recharge. Additionally, the charging coordinator may determine a candidate charging station from among multiple charging stations associated with the geographic region.

A vehicle includes a load floor in a cargo area and a first engagement member and a second engagement member disposed within the cargo area. The first engagement member is spaced apart from the second engagement member. A cart has a base, a first side slidably engaging the first engagement member and a second side slidable engaging the second engagement member. The cart comprises legs retractably extending from the base and wheels coupled to the legs.

The invention discloses a vehicle-road collaborative sensing and parking method and system for a shaft mine draw shaft environment, and relates to the field of unmanned driving, and the method comprises the steps: collecting roadside laser radar data, roadside camera data, roadside laser range finder data, vehicle-mounted laser radar data and vehicle-mounted camera data; respectively calculating roadside obstacle information and vehicle-mounted obstacle information; vehicle-road obstacles are matched through a Hungary algorithm, and a vehicle-road collaborative perception result is generated; performing global path planning by calculating an optimal driving path from the starting point to the unloading point by using the global map to generate a global path; performing local path planning through a path obstacle avoidance algorithm to generate a local path; and according to the global path and the local path, controlling the driving path, the vehicle speed and the parking of the unmanned vehicle. In order to solve the problems that in the prior art, an unmanned vehicle cannot comprehensively sense obstacles and cannot stop in place under the mine shaft environment, comprehensive sensing of the obstacles in the mine shaft environment and accurate parking of the vehicle are achieved.

A parking method includes: obtaining information about a plurality of parking areas; obtaining a relative position relationship between a vehicle and each of the plurality of parking areas; and recommending a first parking area to a user based on the relative position relationship and a first driving behavior of the user, where the plurality of parking areas include the first parking area. The parking method can be applied to a new energy vehicle or an intelligent vehicle, help improve user parking efficiency, and help improve user parking experience.

A vehicle travel assistance method and a travel assistance device for a vehicle include determining whether or not a route-following lane change that is a lane change for traveling along a set travel route can be assisted with autonomous lane change control, and when determining that the route-following lane change cannot be assisted with the autonomous lane change control, notifying a driver that a lane change with the autonomous lane change control cannot be made, and prohibiting the autonomous lane change control from assisting a lane change in a direction opposite to a direction in which the vehicle moves during the route-following lane change.

A rooftop tent assembly for vehicles having a base affixed to a rooftop of a vehicle, an extension plate connected to one end of the base as to overlap the base. The rooftop tent assembly has a cover affixed to the other end of the base and the cover is conceals the rooftop assembly. The rooftop assembly also has a latter affixed to a top portion of the extending plate to allow a user to deploy the rooftop tent assembly. The rooftop assembly further has an internal seal system to prove a water-tight and dust-proof seal. A pair of windows located on either side of the rooftop assembly and a window shade on each of the pair of windows held in place through one or more ropes.

The invention relates to the technical field of airport ground service vehicle management and control, and discloses a multi-agent simulation airport ground service vehicle scheduling system and method. In view of the fact that the efficient airport ground service is a key factor for improving the flight turnover rate, the method comprehensively considers the ground service requirements in the whole process from aircraft landing to takeoff, and achieves the dispatching and control of ground vehicles based on multi-agent simulation. The method comprises the following steps: designing an intelligent agent and an interaction rule thereof, inputting basic information, constructing an airport ground service vehicle scheduling and management and control model, and visually outputting a result. Compared with the prior art, the airport ground service vehicle scheduling system can truly describe the service characteristics of the airport ground service vehicles, and the system can realize the comparison of various ground service vehicle scheduling and control strategy effects, thereby providing a scientific basis for the optimization of the airport ground service vehicle scheduling.

The invention discloses a highway traffic operation carbon emission monitoring and calculating method, which comprises the following steps of: classifying vehicles running on a highway according to vehicle types, and establishing a carbon emission correction model of a carbon emission coefficient and a longitudinal slope rate of the vehicle type through a real vehicle test; arranging a monitor in the section of a target highway section, and acquiring basic information and driving information of vehicles passing through the section through the monitor; a carbon emission factor method is adopted to calculate the carbon emission Cm before correction of the vehicle m in the highway section interval; and S3, according to the carbon emission correction model established in the step S1, in combination with the average longitudinal slope ratio of the road section, correcting the carbon emission Cm before correction in the step S3, and obtaining the carbon emission C after correction of the vehicle m in the specified highway road section interval. According to the calculation method, available information is fully utilized from the perspective of an expressway operation management party, and the expressway traffic operation carbon emission monitoring calculation precision is improved.

The invention relates to the validation of a driving corridor (22) for the lateral guidance of a motor vehicle (1) using a driver assistance system (2). Depending on environmental data (U), a driving corridor (22) with corridor boundaries (23) is determined, which define a first lane width (S1) for the lateral guidance of the motor vehicle (1). Subsequently, it is checked whether more than one driving trajectory (10, 12) lies within the corridor boundaries (23). For this purpose, it is determined whether one or more data points (11a, 13a) are located along a rear axle (5) of the motor vehicle (1), each of which is assigned to a different driving trajectory (10, 12).Depending on the result of the check, the determined driving corridor (22) is validated and the first lane width (S1) is used for the lateral guidance of the motor vehicle (1), or the determined driving corridor (22) is falsified and a different second lane width (S2) is used for the lateral guidance of the motor vehicle (1).

In at least some implementations, a vehicle contains a roof that covers a portion of an interior of the vehicle. The roof may include one or more removable roof panel(s) that can be removably installed in an opening to the roof to selectively close the opening. The roof may also have one or more connection point(s) at which the removable roof panel(s) are coupled to the roof. A tent is configured to mount to a roof and has a base, a cover releasably coupled to the base, tent walls connected between the cover and the base, and multiple connection members by which the base is releasably coupled to the roof, wherein one or more of the connection members are releasably coupled to one or more of the connection points.