A running pattern creation device includes: a coordinate system that is formed of a positional coordinate axis and a vehicle velocity axis; a stopping avoidance zone position holding unit 1 configured to hold positional information on a stopping avoidance zone of a vehicle 8; a vehicle condition holding unit 2 configured to hold at least information on respective accelerations at an acceleration time, a deceleration time and a coasting time with respect to specification of the vehicle 8; a braking pattern creation unit 3 configured to create a braking pattern that is a pattern for stopping the vehicle 8 at a position other than the stopping avoidance zone using the positional information and information on acceleration at the deceleration time; a coasting pattern creation unit 4 configured to create a coasting pattern that is a pattern for stopping the vehicle 8 at a position other than the stopping avoidance zone using the positional information and the information on acceleration at the coasting time; an object region decision unit 5 configured to decide an object region 5 that is a region surrounded by the positional coordinate, the braking pattern and the coasting pattern; and a scheduled running pattern creation unit 6 configured to create a scheduled running pattern that is a running pattern avoiding the object region 5 and can be expressed by the coordinate system.

A running pattern creation device includes: a coordinate system that is formed of a positional coordinate axis and a vehicle velocity axis; a stopping avoidance zone position holding unit 1 configured to hold positional information on a stopping avoidance zone of a vehicle 8; a vehicle condition holding unit 2 configured to hold at least information on respective accelerations at an acceleration time, a deceleration time and a coasting time with respect to specification of the vehicle 8; a braking pattern creation unit 3 configured to create a braking pattern that is a pattern for stopping the vehicle 8 at a position other than the stopping avoidance zone using the positional information and information on acceleration at the deceleration time; a coasting pattern creation unit 4 configured to create a coasting pattern that is a pattern for stopping the vehicle 8 at a position other than the stopping avoidance zone using the positional information and the information on acceleration at the coasting time; an object region decision unit 5 configured to decide an object region 5 that is a region surrounded by the positional coordinate, the braking pattern and the coasting pattern; and a scheduled running pattern creation unit 6 configured to create a scheduled running pattern that is a running pattern avoiding the object region 5 and can be expressed by the coordinate system.

Systems and methods for improved operations of ski lifts increase skier safety at on-boarding and off-boarding locations by providing an always-on, always-alert system that “watches” these locations, identifies developing problem situations, and initiates mitigation actions. One or more video cameras feed live video to a video processing module. The video processing module feeds resulting sequences of images to an artificial intelligence (AI) engine. The AI engine makes an inference regarding existence of a potential problem situation based on the sequence of images. This inference is fed to an inference processing module, which determines if the inference processing module should send an alert or interact with the lift motor controller to slow or stop the lift.

Systems and methods for improved operations of ski lifts increase skier safety at on-boarding and off-boarding locations by providing an always-on, always-alert system that “watches” these locations, identifies developing problem situations, and initiates mitigation actions. One or more video cameras feed live video to a video processing module. The video processing module feeds resulting sequences of images to an artificial intelligence (AI) engine. The AI engine makes an inference regarding existence of a potential problem situation based on the sequence of images. This inference is fed to an inference processing module, which determines if the inference processing module should send an alert or interact with the lift motor controller to slow or stop the lift.

A transportation system (100) based on a plurality of pods (110) without any prime movers is disclosed, having a plurality of main tracks (102) having flexible drives to engage with the pods (110) and move the pods along the main track. The pods (110) can be carried by a last-miler vehicle for providing a seamless connectivity between a starting point of a commuter and a destination location without any change. The transportation system includes stations (150) having diverter belts (104), accelerator/decelerator paths (106) and diverter patch (114), where the pods (110) can be transshipped between the main track (102) and the last-miler vehicles.

Systems and methods for improved operations of ski lifts increase skier safety at on-boarding and off-boarding locations by providing an always-on, always-alert system that “watches” these locations, identifies developing problem situations, and initiates mitigation actions. One or more video cameras feed live video to a video processing module. The video processing module feeds resulting sequences of images to an artificial intelligence (AI) engine. The AI engine makes an inference regarding existence of a potential problem situation based on the sequence of images. This inference is fed to an inference processing module, which determines if the inference processing module should send an alert or interact with the lift motor controller to slow or stop the lift.

Systems and methods for improved operations of ski lifts increase skier safety at on-boarding and off-boarding locations by providing an always-on, always-alert system that “watches” these locations, identifies developing problem situations, and initiates mitigation actions. One or more video cameras feed live video to a video processing module. The video processing module feeds resulting sequences of images to an artificial intelligence (AI) engine. The AI engine makes an inference regarding existence of a potential problem situation based on the sequence of images. This inference is fed to an inference processing module, which determines if the inference processing module should send an alert or interact with the lift motor controller to slow or stop the lift.

The present disclosure relates to a portable safety terminal based method for processing rail transit resources, and a system for the method. The method includes: in a degradation mode, performing interaction between a portable safety terminal and a wayside controller; providing a driver with safety display of an environment where a train is located, and obtaining a location of the train and information of a relationship between a front train and a rear train; and providing the driver with a means to apply for line resources, such that the driver can, according to the train environment, autonomously apply for the line resources, and release the resources for use by subsequent trains after driving the train to pass through a zone. Compared to the prior art, the present disclosure has the advantages of improving the safety of train driving and field maintenance operation, etc.

The present disclosure relates to a portable safety terminal based method for processing rail transit resources, and a system for the method. The method includes: in a degradation mode, performing interaction between a portable safety terminal and a wayside controller; providing a driver with safety display of an environment where a train is located, and obtaining a location of the train and information of a relationship between a front train and a rear train; and providing the driver with a means to apply for line resources, such that the driver can, according to the train environment, autonomously apply for the line resources, and release the resources for use by subsequent trains after driving the train to pass through a zone. Compared to the prior art, the present disclosure has the advantages of improving the safety of train driving and field maintenance operation, etc.

A method of communication-based train control system migration includes scanning a guideway to generate surveying data and processing surveying data to calculate a 3-D representation of the guideway. Appropriate locations are determined for the communication-based control devices on the guideway. Communication-based train control devices are installed in a guideway at the determined appropriate locations and vehicles are retrofitted with an autonomy platform. Testing of the control devices and retrofit vehicles is performed. A communication-based train control system is used to control the retrofit vehicles when they operate within the guideway.