3 results about "Green vehicle" patented technology

This invention belongs to the field of intelligent transportation technology, specifically relating to a method for detecting abnormal transportation status of green channel vehicles based on highway OD data. This invention overcomes the limitations of traditional manual spot checks and simple weighing comparisons, which can only address explicit problems, through the coordinated operation of data acquisition, origin anomaly judgment, weight loss anomaly judgment, and comprehensive early warning. It accurately identifies non-overweight transportation anomalies with strong concealment, such as substandard loading rates, mixed loading of light and heavy goods to increase weight, and false declaration of goods, filling a gap in existing technology in this field. Based on big data such as highway OD, this invention conducts intelligent screening from the macro-level patterns of transportation behavior, significantly reducing the hardware investment and operating costs of green channel policy supervision. At the same time, it overcomes the drawbacks of low efficiency, narrow coverage, and strong subjectivity of manual detection, achieving automated and comprehensive screening of the transportation status of green channel vehicles, greatly improving regulatory efficiency and coverage.

The application belongs to the field of intelligent logistics, and specifically discloses a green vehicle path planning method and system for a logistics site, which comprises the following steps: acquiring path planning basic data; based on the basic data, constructing a quantitative model for dynamically calculating carbon emissions based on vehicle driving time, speed and load, setting constraint conditions for path planning based on logistics information, and establishing a multi-objective function including a driving distance target and a carbon emission target obtained based on the quantitative model; using a tent mapping to generate an initial population of a starling optimization algorithm, with each starling individual corresponding to a path planning solution; using an improved starling optimization algorithm with a polynomial mutation disturbance strategy to iteratively solve the multi-objective function under the constraint conditions, and outputting an optimized path planning solution. Through the application, the dynamic and accurate calculation of carbon emissions of vehicles under different load conditions and driving speeds is realized, and a more low-carbon and green vehicle driving path for a logistics site is planned.