Shaanxi Heavy Duty Automobile Co. Facilitate Its In-telligent Fleet Management Service with the Help of UBIAI’s ADIP

In recent years, with the development of the econ-

omy and the progress of society, the number of

cars in China has continued to increase. By the end

of 2018, the number of motor vehicles in China had

reached 325 million, an increase of 15.56 million

from the end of 2017. From January to May 2017,

China's heavy truck market sold a total of 486,000

vehicles of various types, an increase of 73% over

the 280,000 vehicles comparing to the same period

of last year. Among them, sales in May reached

98,000, an increase of 51% year-on-year. Sales

remained at a high level, with sales exceeding

expectations in the second quarter of 2017.

Compared to the individual vehicle intelligence of

passenger cars, the automatic driving of commer-

cial vehicles such as trucks in the logistics field

emphasizes the mass production of automatic

driving and vehicle networking. Especially when the

vehicle is handed over from the OEMs to the down-

stream logistics and transport company customers,

the management requirements at the fleet level

are more obvious. With the rapid development of

new technologies of IOT, the management style of

the fleet is undergoing new challenges, and the

intelligent management of the fleet has become

the trend of the times. The advent of new technolo-

gies has led to the continuous updating of fleet

management methods, from extensive manage-

ment to refined, and the fleet management indus-

try market has also developed rapidly.

After accumulating a large amount of driving data,

logistics data, and vehicle status data, how to

apply data to intelligent services of fleet manage-

ment, improve overall scheduling efficiency, and

control logistics costs are urgent problems for major

OEMs and logistics companies.

CHALLENGE

CASE STUDY

PROFILE

UBIAI provides a powerful, flexible and complete

automotive data solution. The Vehicle Data Intelligent

Application Platform (ADIP) provides data docking,

data cleaning and statistical analysis, thereby

facilitates the fleet intelligent management by

vehicle driving data, vehicle condition, logistics

information data visualization, real-time position

monitoring and data modeling.

In the meanwhile, using artificial intelligence and

machine learning model, the platform integrates with

external data, road and weather data. After external

data integration, desensitization, cleaning, coding

and driving feature conversion, various models are

constructed, such as driving behavior evaluation

model, vehicle failure warning model, load forecast-

ing analysis model, smart fueling, etc., which has

been strong support of costs reduction, fleet schedul-

ing efficiency and driving safety improvement.

HIGHLIGHTS

· Rapid deployment based on Cloud Computing

· Average fleet vehicle failures and accident rate

decreased within three months (by 21.2% and

32.8%)

AUTOMOTIVE DATA TYPES

· Desensitized historical data

· Desensitized trip data

· Driving behavior score

· Weather data

· Road data

USE CASES

· Vehicle Data Intelligent Application Platform

· Driving behavior analysis model

· Heavy truck load analysis model based on driving

behavior and supervised learning

· Vehicle failure analysis and prediction model

· Intelligent fueling prediction model based on

ARIMA and LSTM

UBIAI shares a common vision with cooperate OEMs. Most of the future data will come from cars. We work

together to promote a data service market for the value of car network data while sharing the results we

have achieved so far.

UBIAI uses its self-developed data intelligence platform to quickly integrate and process the massive data of

car companies, forming a “person”, “car” and “risk” data network, using deep learning and machine

learning models for OEMs and their downstream logistics users to facilitate services such as driving behavior

evaluation, vehicle failure warning, load forecasting analysis, smart fueling, and finally to reduce costs,

improve fleet scheduling efficiency and driving safety.

CASE STUDY

WHY UBIAI ?

UBIAI offers a complete solution that’s robust, flexible and delivers a seamless customer experience. The

combination of automobile data intelligent engine and data aggregation product provides OEMs their

downstream logistics users with various data services, data modeling, business applications and data visual-

ization. After data desensitization, cleaning, coding, statistical analysis and feature transformation, the digital

platform application module completes vehicle real-time monitoring, trip data query, real-time vehicle status

query, statistical analysis and visualization.

The digital platform also integrates multi-source external data. For example, real-time road congestion and

accident level data provide support for fleet logistics road planning, real-time accident and congested road

ascertainment. The weather data includes real-time data and forecast data of minute and kilometer accu-

racy, which provides not only a refined evaluation of the historical driving behavior, but also accurate

weather forecast for the fleet logistics.

The vehicle data-mining module includes driving behavior assessment, vehicle failure warning, component

demand allocation, load forecasting analysis, smart fueling and other models, to provide with better business

analyzing, intelligently route planning, which can effectively improve the overall transportation safety and

efficiency.

SOLUTION

RESULTSADIP by UBIAI, provides Shaanxi Heavy Duty Automobile co. and its downstream logistics and transportation

company customers the ability to facilitate intelligent fleet management, integrating driving data, logistics

information data, vehicle status data and external data to provide vehicle data visualization, fleet operation

data analysis and vehicle data mining model. ADIP offers a strong data support for decision making and the

overall transportation efficiency improvement.

Within three months after ADIP launched, the average vehicle failure rate, accident rate, and accident

volume of fleets dropped significantly, and the driving habits of the fleet drivers improved significantly. Three

months after the launch of the platform, the vehicle failure rate dropped by 21.2%, and the accident rate

decreased by 32.8% compared to the same period of the last year.

CASE STUDY

UBIAI Technology is an Internet of Vehicles (IoV) Big Data Service Enterprise. The company's automotive

digital service cloud platform provides professional big data analysis and application services for OEMs,

assists in optimizing their product iterations and data-based business operations, and promotes the industry

integration under a new automobile ecosystem. At present, UBIAI has cooperated with various domestic and

foreign commercial-vehicle, new-energy-vehicle and commute-vehicle companies in the field of big data

applications in the IoV field. In the meantime, in the industries including Insurance, Finance, Automotive

After-Sales Service, Used-Car, Transportation, UBIAI determines to support enterprises that need to integrate

into the new IoV ecosystem, provides them with professional IoV Data Services, and enhances the competi-

tiveness of their products and services in the industry.

ABOUT UBIAI

UBIAI UBIAI Technologywww.ubiai.com.cn business@ubiai.com.cn