6 results about "Taxis" patented technology

An integrated intelligent safety and surveillance system for vehicles combining multiple cameras (internal fisheye, front, rear), radar collision sensor, high-precision GPS unit, environmental sensors (temperature, humidity, air quality), and ambient LED lighting within a single embedded unit with internal battery and optional solar power. Features protocol-agnostic communication architecture (GSM / 3G / 4G / 5G, Wi-Fi, Bluetooth, satellite, CAN bus) and supports multiple platforms (Android, Arduino, ESP, Raspberry Pi, STM32). Provides collision warning, 360-degree monitoring, real-time GPS tracking, geofencing, stolen vehicle recovery, driving behavior analysis, and risk heat maps. Targets commercial vehicles, taxis, ride-sharing, and fleet management. Core innovation: integrating all systems into one flexible platform with comprehensive spatial-temporal analytics.

This invention discloses a charging guidance method and system for two-shift electric taxis based on Q-learning. The method first constructs an electric taxi operation process model to simulate the vehicle's route selection and state of charge changes under different states. Second, it establishes a charging behavior model based on the Q-learning algorithm. By defining discretized time, region, and state of charge spaces, it sets passenger-finding and charging actions and designs a sum-of-benefits penalty function that includes state of charge threshold constraints at shift change times, training to obtain the optimal charging decision strategy. Finally, the guidance effect is evaluated from three dimensions: charging cost, satisfaction of residents' travel needs, and grid power supply balance. This invention effectively reduces unnecessary charging times through intelligent guidance, smooths the charging load during shift change times, lowers operating costs, and simultaneously improves grid stability and residents' travel security.

This invention relates to the field of vehicle management technology, specifically to a management system for managing unauthorized substitute drivers. The system includes a management settings module, a non-driving fare meter unlocking / locking module, an information data management module, an anti-fraud electronic service supervision module, and a hardware interaction module. The management settings module manages the activation and deactivation of non-driving detection, automatically locking the fare meter upon detection failure, and sets the detection interval, detection frequency, and facial recognition matching threshold. The non-driving fare meter unlocking / locking module is used for locking and unlocking the fare meter. The information data management and query module stores information on officially hired drivers. The anti-fraud electronic service supervision module obtains driver information. The hardware interaction module enables two-way data communication between the dynamic monitoring platform and the taxi. This system controls driver qualifications from the source, manages the entire process, completely eradicates industry management loopholes related to unauthorized substitute drivers in taxis, and reduces operational risks for businesses.

The application discloses a short-distance order intelligent matching and load balancing scheduling system for cruising taxis, and particularly relates to the technical field of intelligent traffic management, and the system comprises a topology evidence module, a queue gating module, a batch matching module and a closed-loop processing module; wherein the topology evidence module is used for unified access, time benchmark alignment and site topology modeling of multi-source data of key sites and surrounding roads to generate a sequence evidence chain of vehicles; the queue gating module is used for reconstructing real-time sequences of vehicle queue areas, forming a queue sequence list, and generating a sequence evidence credibility and a load gating quantity of each vehicle; the batch matching module is used for completing short-distance order identification, release batch generation, sequence layer range determination, vehicle and order matching and passenger pickup window allocation within a rolling scheduling window; and the closed-loop processing module is used for executing issuing, process monitoring, abnormality processing, rollback adjustment and audit solidification.

This invention discloses a multi-agent simulation method for air taxis combining a Double-DQN network. The method includes constructing a low-to-high-level composite urban air taxi traffic network model based on urban geographic information data; then building a fixed-time-step multi-agent simulation system based on the constructed air taxi agent model and station passenger behavior model; constructing an air taxi scheduling model; training the air taxi scheduling model within the multi-agent simulation system; deploying the trained air taxi scheduling model into the multi-agent simulation system; running the simulation based on the low-to-high-level composite urban air taxi traffic network model; and outputting the simulation results of air taxi operation. This invention constructs a two-layer urban air traffic network, employs multiple air taxi agents to finely simulate the entire process behavior, and combines optimized scheduling strategies to achieve realistic simulation and efficiency improvement of air taxi operation.