如果車對(duì)車或車對(duì)基建站點(diǎn)的通訊能在未來(lái)實(shí)現(xiàn),那么必將產(chǎn)生海量的交通與路況信息。信息技術(shù)公司與汽車公司認(rèn)為其中一部分信息將蘊(yùn)含極高的潛在價(jià)值,但究竟哪些信息有價(jià)值目前尚不清楚。
專家普遍預(yù)測(cè),車對(duì)車(V2V)/車對(duì)基礎(chǔ)設(shè)施(V2X)技術(shù)將成為所有車輛的強(qiáng)制配置要求,因?yàn)樗谔岣甙踩矫婵梢云鸬街匾饔?。屆時(shí),所有車輛都將傳送車速、方向及其他信息。傳送信息的主要目的是安全保障,但如此龐大的實(shí)時(shí)信息必然也能用于其他目的。
“積累交叉路口和高速公路上的信息,具有非常重要的價(jià)值,”豐田汽車工程與生產(chǎn)公司集成汽車系統(tǒng)部門(mén)的Hideki Hada表示。“像實(shí)時(shí)交通狀況這樣的信息,你可以收集幾十億條數(shù)據(jù)。有些人通過(guò)收集數(shù)據(jù)就能賺一大筆錢(qián)。”
目前,手機(jī)信號(hào)已被用于收集實(shí)時(shí)交通信息。但是讓大部分汽車都具備V2X傳送器,還需等待多年,在此之前,這一技術(shù)概念也會(huì)獲得極大的發(fā)展。盡管如此,IT公司已經(jīng)開(kāi)始思考如何建造收集交通數(shù)據(jù)的大型系統(tǒng)。因此,不會(huì)出現(xiàn)一種應(yīng)用獨(dú)大的情況,更可能出現(xiàn)的局面是多種使用模式并存。
“我們?cè)谄嚮ヂ?lián)方面進(jìn)行了巨額投資,這是我們的云服務(wù)戰(zhàn)略的一部分” IBM智能交通解決方案架構(gòu)師Richard Nash表示。“我們探討了多種想法,嘗試了各種領(lǐng)域中的應(yīng)用模式。在某些領(lǐng)域里,可以收集大量數(shù)據(jù),但最重要的是需要從中篩選出4-5個(gè)有商業(yè)價(jià)值的內(nèi)容。”
在消費(fèi)領(lǐng)域中用于分析趨勢(shì)的大數(shù)據(jù)技術(shù),可以用來(lái)篩選汽車所發(fā)送的信息。如果V2V真正成為汽車中的標(biāo)配設(shè)施,那么分析所需的數(shù)據(jù)供應(yīng)自然會(huì)非常充足。
“大數(shù)據(jù)技術(shù)的核心就是海底撈針,”Xerox技術(shù)、政策與戰(zhàn)略部門(mén)高級(jí)主管Joe Averkamp表示。“大部分?jǐn)?shù)據(jù)很無(wú)趣。數(shù)據(jù)量很快能達(dá)到拍字節(jié)(Petabytes)的規(guī)模,甚至d進(jìn)入艾字節(jié)(Exabytes)的時(shí)代。”
作者:Terry Costlow
來(lái)源:SAE《汽車工程雜志》
翻譯:SAE上海辦公室
Searching for V2V's hidden data
If vehicles eventually talk to each other and to infrastructure stations as expected, there’s going to be a ton of data about traffic and road conditions. Information technology and automotive companies feel that some of this information has a lot of potential value, though what exactly it’s good for remains uncertain.
It’s widely predicted that vehicle-to-vehicle/-infrastructure (V2X) technology will be required on all vehicles due to its significant role in improving safety. If that occurs, all vehicles will eventually transmit their speed, direction, and other information. These transmissions are mainly for safety, but the wealth of real-time information will undoubtedly be useful for something else.
“There’s real value in accumulating data at intersections and on the freeway,” said Hideki Hada of Toyota Motor Engineering & Manufacturing’s Integrated Vehicle Systems Dept. “You can collect billions of pieces of data for things like real-time traffic information. Somebody will make good money by aggregating data.”
However, cellular signals are already being used for real-time traffic information. That concept will undoubtedly improve vastly in the years it will take before a large percentage of vehicles have V2X transmitters. Still, IT companies are already exploring ideas that will help them justify building large systems that focus on transportation data. There may not be one killer application for data, but many minor usage models may exist.
“We’re making huge investments into connected cars as part of our cloud services strategy,” said Richard Nash, Solution Architect for Intelligent Transport at IBM. “We’re trying to string together different ideas to see where there are use cases in various domains. In some areas, they’ll be collecting enormous amounts of data. The trick is to sift through it to find the four or five items that have some business benefits.”
The big-data techniques used to analyze trends in consumer fields can be used to glean useful information from data sent by cars. If V2V does become a standard feature, there will be no shortage of data to analyze.
“Big data plays are all about finding the needle in the haystack,” said Joe Averkamp, Senior Director, Technology, Policy & Strategy, at Xerox. “A lot of the data is just not interesting. You quickly get up to petabytes and start talking about exabytes.”
Author: Terry Costlow
Source: SAE Automotive Engineering Magazine