智能交通大数据来源分析与数据归属讨论公开课一等奖课件省赛课获奖课件

智能交通大数据来自何方，归谁所有?Where

DoIntelligent

Traffic

DataComeFrom?

Whom

Do

They

All

Belong

to?第1页2023年9月14日起，上海市开始进行第5次交通调查。上一次交通调查在2023年进行，至今已过去5年。FromSeptember14,2014,Shanghaicitystartedthe5thtrafficsurvey.LasttrafficsurveyinShanghaiwasconductedin2023.Sofar,ithasbeenpastfor5years.第2页5年来，上海私人小汽车增加

了91%，轨道交通客运量增加了90%。公共交通与私人交通之间正在

进行一场博弈。Over

the

past

5

years,Shanghai's

private

cars

haveincreased

by

91%,

and

the

railtransit

passenger

volume

hasincreased

by

90%.

A

gamebetween

public

transport

andprivate

transport

is

underway.第3页本次交通调查准备调查7.5万家庭。若每个家庭平均人口以4人计算，将包括30万人。Thistime,thetrafficinvestigationwillpreparetoinvestigateupto75,000homes.Iftheaveragepopulationperfamilyiscalculatedas4people,upto300,000peoplewouldbeinvolved.第4页上海目前常住人口为2400万人，也就是说，通过实际调查，我们可

以理解大约1/80上海市民交通行

为。At

present,

Shanghai

residentpopulation

have

24

millionpeople,

that

is

to

say,

throughthe

investigation,

we

can

learnthe

traffic

actions

of

about1/80

Shanghai

residents.第5页在大数据和云计算时代，我们

能否做得更有效率？Can

we

do

more

efficiently

inthe

era

of

big

data

and

cloudcomputing

？第6页上海共有400万张交通卡，每天

大约能产生3200万个数据，其中包括每张交通卡进出地铁闸机时间与地

点，Thereare

atotalof4milliontrafficcardsinShanghai,and

eachdaytheycanproduceupto32milliondata,includingthetimeandlocationsof

everycard’sgettinginandoutofthesubwayturnstiles.第7页据此可理解上海轨道交通客流途径分布。Accordingtothisdata,thedistribution of ShanghaiRailTransitpassengerflowpaths could be learnedabout.第8页上海大约有5万辆出租汽车，根据GPS及测速装置，就可理解道路交通客流分布、拥堵路段及其拥堵程度。Thereareabout50,000taxisinShanghai.AccordingtotheGPSandspeedmeasuringdevice,youcanlearnaboutthedistributionoftheroadtrafficpassengerflow,congestedroadsandcongestionlevels.第9页据此可为汽车驾驶员提供实时指路服务，以最大程度地缓和拥堵。Thereal-timedirectionsservicescouldbeprovidedfordriversaccordingly,soastoeasethecongestiontothegreatestdegree.第10页上海有2023多万部智能手机，上海有4万个基站，而交通调查时交通分区仅几百个。Thereare20

millionsmartphonesinShanghai,andthereare40,000basestationsinShanghai.Thereareonlyhundredsoftrafficpartitionwhentrafficsurveywasdone.第11页移动通信运行商不难获取2000多万人一天行动轨迹。Itisnotdifficultformobile communicationoperators to get theactionpathsofmorethan20 million people a day.第12页这就产生了两个问题：一是在

利用信息资源同步如何保护个人

隐私；二是这些信息资源如何利用。

This

creates

two

problems:

oneis

how

to

protect

your

personalprivacy

in

the

use

ofinformation

resources

and

theother

is

how

to

take

advantageof

these

information

resources.第13页有国家做法是：由政府向运

营商买下这些数据后对研究人员开

放。Some

country’s

practice

isthat

the

government

buys

thedata

from

the

operators,

andthen

these

data

will

open

toresearchers.第14页以日本东京为例，研究人员能够在网上下载东京都2023多种交通小区OD数据。TakingTokyoofJapanasanexample,researcherscandownloadOD(Origin-Destination)dataofmorethan2023trafficneighborhoodsintheTokyoMetropolisontheInternet.第15页为此，笔者提议:我国工信部在《大数据管理白皮书》基础上，授权有关机构进行大数据如何被利用研究。To this end, the author proposesthatonthebasisof“TheWhitePaper on the Management of BigData”, the Ministry of Industryand Information Technology of ourcountry authorize the relevantagencies to carry out the researchon how the data is being used,第16页并制定出对应管理制度与法律法规，让这些珍贵信息资源充份被利用，以加快我国智慧都市以及智能化交通建设步伐。anddevelopappropriatemanagementsystems, laws and regulations so asto make