Abstract: A method of managing the adaptive dispatching of a taxi includes receiving a request for a taxi, the received request being from a passenger; scoring a taxi driver based on at least one of an acceptance rate for assignment, a rejection rate for assignment, an idle rate, and a frequency of job acceptance; scoring the passenger based on at least one of a cancellation rate, a booking frequency, an abandonment rate, and a blacklist factor; matching the passenger to a taxi driver based on the taxi driver score and the passenger score; assigning a passenger to a taxi driver based on one of a conditional historical acceptance rate and a stochastic assignment of either chance constraints or a conditional value at risk; and dispatching the taxi driver to the passenger.

Abstract: A diagnostic system includes a detection circuit comprising a first impedance, a second impedance, a first input pin, a second input pin, a first output pin and a second output pin. The detection circuit is configured to receive an input signal via the first and the second input pins. The first impedance is configured to electrically couple the first input pin and the first output pin, and the second impedance is configured to electrically couple the first input pin with the second input pin and second output pin. The diagnostic system also includes a communication channel. The diagnostic system further includes an input circuit comprising a third input pin, a fourth input pin and a third output pin. The input circuit is configured to provide, via the third output pin, a voltage signal.

Abstract: A method of managing the adaptive dispatching of a taxi includes receiving a request for a taxi, the received request being from a passenger; scoring a taxi driver based on at least one of an acceptance rate for assignment, a rejection rate for assignment, an idle rate, and a frequency of job acceptance; scoring the passenger based on at least one of a cancellation rate, a booking frequency, an abandonment rate, and a blacklist factor; matching the passenger to a taxi driver based on the taxi driver score and the passenger score; assigning a passenger to a taxi driver based on one of a conditional historical acceptance rate and a stochastic assignment of either chance constraints or a conditional value at risk; and dispatching the taxi driver to the passenger.

Abstract: The invention provides a carving knife. The carving knife comprises a knife handle, a blade, a light-emitting structure and a switch structure, wherein the blade is inserted into the front end of the knife handle, the light-emitting structure is mounted on the knife handle and located near the blade, the switch structure is arranged on the knife handle, electrically connected with the light-emitting structure and used for controlling on-off of the light-emitting structure. The carving knife has the advantages of being high in integration level and comfortable in use.

Abstract: A system for automated traffic sensor placement includes a sensor placement module configured to determine where a plurality of traffic flow monitoring sensors are to be placed within a network of roadways to observe or infer traffic flow volume through each of a plurality of roadway arcs of interest. An arc prioritization module is configured to determine a relative priority of each of the arcs of interest. A sensor selection module is configured to receive an indication of how many sensors are available to deploy and select a corresponding number of sensors for deployment from among the traffic flow monitoring sensors to be placed based on the relative arc priorities determined by the arc prioritization module.

Abstract: Determining a routing of vehicles for pickup and delivery in a supply chain network, in one aspect, may include generating a plurality of candidate set of routes for vehicles for pickup and delivery to meet demand at multiple target locations. Unsatisfied demand at said multiple target locations resulting from completing pickup and delivery according to the generated plurality of candidate set of routes may be determined. A set of vehicles routes are selected from said plurality of candidate set of routes that minimizes said unsatisfied demand across all said multiple target locations by applying an optimization function.