4 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 invention discloses a time-varying green vehicle multi-target path planning method based on iterative local search, and the method comprises the steps: 1, building a vehicle logistics-oriented time-varying green vehicle multi-target path planning model for the time-varying path planning of a fuel vehicle, and enabling the model to be used for describing the correlation condition of time-varying speed, vehicle load and fuel consumption; 2, constructing a multi-target time-varying green vehicle path planning model in combination with a time-varying driving time model and a load-speed-distance coupled fuel consumption model; and 3, solving a path planning model by using a heuristic algorithm based on iterative local search to obtain a path planning scheme. According to the method, a distribution path scheme of time-varying speed characteristics and multi-target tradeoff can be optimized, and the problem of collaborative optimization of vehicle paths and fuel consumption in a time-varying traffic environment can be solved, so that the total distance, the transportation time and the fuel consumption can be reduced, and emission is reduced.

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.

The invention relates to a method for rapidly checking a green channel vehicle based on an AI model, and relates to the technical field of computer processing, and the method comprises the following steps: S1, in the loading operation process of the green channel vehicle, starting a vehicle-mounted intelligent terminal to carry out whole-course audio and video data collection, the collected first data set is encrypted and then uploaded to the cloud server in real time; s2, generating a second data set according to the planned driving route of the reported green channel vehicle, and associating the second data set with the first data set to obtain associated loading data; and S3, at the first toll station node where the green channel vehicle passes, based on the associated loading data, performing automatic verification on the compliance of the loading operation. According to the method, efficient inspection of the green channel vehicles is realized, the passing verification time is remarkably shortened, the operation management efficiency of the highway toll station is improved, the economic benefits of transportation enterprises and truck drivers are effectively improved, and the method has good industrial application value.