Research On Guidance Of Logistics Driving Behavior Based On Fuel Consumption Management

In recent years,urban logistics transportation vehicles have been increasing,and the corresponding logistics enterprise management level is not satisfactory.Its transportation cost is high,transportation efficiency is low,and resource waste is very serious,especially the driver's driving behavior,which is determined to some extent.The fuel consumption of vehicles is high and low.At present,domestic and foreign scholars have carried out a lot of analysis on driving behavior,but at present,only the vehicle energy consumption emission model and the vehicle trajectory optimization model are studied.Most auto manufacturers focus on the development and design of the whole vehicle.In-depth research in this area.Enterprises with driving behavior data acquisition systems can only achieve small-scale data collection,lack of ability to achieve data sharing and theoretical research,and lack of instructive automotive fuel economy research.The goal of this paper is to establish a driving behavior assessment method and an online evaluation system to improve the driver's energy-saving operation level by analyzing the driving driver's driving behavior factors and the driving characteristics under different road conditions with the lowest fuel consumption and the highest safety performance.Manage operational efficiency.1.Fuel consumption analysis based on road characteristics,according to the actual operation data of logistics vehicles collected in Jiangsu Province,according to the different road conditions and operating conditions of the data,the fuel consumption characteristics of vehicles and the factors affecting vehicle fuel consumption under different conditions are analyzed.Based on the analysis of the energy saving potential and improvement point of the vehicle.2.Establish driving behavior guidance method research method and analyze the trend of fuel consumption change based on rating model such as acceleration,air resistance,friction,and sudden braking.Based on the European standard driving model,the difference between the driver and the optimal driving behavior is calculated,and the guiding opinions of the optimal driving behavior are proposed and verified.3.Use the mobile terminal APP to collect driving data and build an online evaluation platform for drivers' driving behaviors of logistics enterprises.Defining and quantifying driver driving behavior provides data support for logistics companies to effectively carry out fleet management and information sharing,and can carry out offline driving behavior training through the collected actual driving behavior,which has certain management significance.This paper mainly collects the drivers driving parameters over a period of time by establishing a smart driving scoring system and an online system,and automatically performs horizontal and vertical comparisons,and cycles the driver's actual driving behavior and driving conditions with the city's vehicle driving standards.The suburban vehicle driving standard cycle and the highway driving standard cycle are compared to quickly and effectively find out the cause of excessive fuel consumption,aiming at optimal driving behavior and safe driving,and calculating the actual driving operation between the driver and the optimal driving behavior.The difference is taken as a parameter,and the relevant data is generated,the online chart is generated to optimize the management plan and the improvement of the enterprise management efficiency,and the driving behavior suggestion based on the optimal driving behavior is proposed and verified.The objective system analysis and assessment of driver driving provides powerful data support for the company's more humanized management staff.