{"pre_text": ["us in a position to handle demand changes .", "we will also continue utilizing industrial engineering techniques to improve productivity .", "2022 fuel prices 2013 uncertainty about the economy makes fuel price projections difficult , and we could see volatile fuel prices during the year , as they are sensitive to global and u.s .", "domestic demand , refining capacity , geopolitical events , weather conditions and other factors .", "to reduce the impact of fuel price on earnings , we will continue to seek recovery from our customers through our fuel surcharge programs and to expand our fuel conservation efforts .", "2022 capital plan 2013 in 2011 , we plan to make total capital investments of approximately $ 3.2 billion , including expenditures for positive train control ( ptc ) , which may be revised if business conditions warrant or if new laws or regulations affect our ability to generate sufficient returns on these investments .", "( see further discussion in this item 7 under liquidity and capital resources 2013 capital plan. ) 2022 positive train control 2013 in response to a legislative mandate to implement ptc by the end of 2015 , we expect to spend approximately $ 250 million during 2011 on developing ptc .", "we currently estimate that ptc will cost us approximately $ 1.4 billion to implement by the end of 2015 , in accordance with rules issued by the federal railroad administration ( fra ) .", "this includes costs for installing the new system along our tracks , upgrading locomotives to work with the new system , and adding digital data communication equipment so all the parts of the system can communicate with each other .", "during 2011 , we plan to begin testing the technology to evaluate its effectiveness .", "2022 financial expectations 2013 we remain cautious about economic conditions , but anticipate volume to increase from 2010 levels .", "in addition , we expect volume , price , and productivity gains to offset expected higher costs for fuel , labor inflation , depreciation , casualty costs , and property taxes to drive operating ratio improvement .", "results of operations operating revenues millions 2010 2009 2008 % (  % ) change 2010 v 2009 % (  % ) change 2009 v 2008 ."], "post_text": ["freight revenues are revenues generated by transporting freight or other materials from our six commodity groups .", "freight revenues vary with volume ( carloads ) and average revenue per car ( arc ) .", "changes in price , traffic mix and fuel surcharges drive arc .", "we provide some of our customers with contractual incentives for meeting or exceeding specified cumulative volumes or shipping to and from specific locations , which we record as a reduction to freight revenues based on the actual or projected future shipments .", "we recognize freight revenues as freight moves from origin to destination .", "we allocate freight revenues between reporting periods based on the relative transit time in each reporting period and recognize expenses as we incur them .", "other revenues include revenues earned by our subsidiaries , revenues from our commuter rail operations , and accessorial revenues , which we earn when customers retain equipment owned or controlled by us or when we perform additional services such as switching or storage .", "we recognize other revenues as we perform services or meet contractual obligations .", "freight revenues and volume levels for all six commodity groups increased during 2010 as a result of economic improvement in many market sectors .", "we experienced particularly strong volume growth in automotive , intermodal , and industrial products shipments .", "core pricing gains and higher fuel surcharges also increased freight revenues and drove a 6% ( 6 % ) improvement in arc .", "freight revenues and volume levels for all six commodity groups decreased during 2009 , reflecting continued economic weakness .", "we experienced the largest volume declines in automotive and industrial ."], "table": [["millions", "2010", "2009", "2008", "% (  % ) change 2010 v 2009", "% (  % ) change 2009 v 2008"], ["freight revenues", "$ 16069", "$ 13373", "$ 17118", "20% ( 20 % )", "( 22 ) % (  % )"], ["other revenues", "896", "770", "852", "16", "-10 ( 10 )"], ["total", "$ 16965", "$ 14143", "$ 17970", "20% ( 20 % )", "( 21 ) % (  % )"]], "table_ori": [["<i>Millions</i>", "<i>2010</i>", "<i>2009</i>", "<i>2008</i>", "% Change 2010 v 2009", "% Change 2009 v 2008"], ["Freight revenues", "$16,069", "$13,373", "$17,118", "20%", "(22)%"], ["Other revenues", "896", "770", "852", "16", "(10)"], ["Total", "$16,965", "$14,143", "$17,970", "20%", "(21)%"]]}

Question: what is the average operating revenue from 2008-2010 , in millions?
Evidence:
table_1: millions the freight revenues of 2010 is $ 16069 ; the freight revenues of 2009 is $ 13373 ; the freight revenues of 2008 is $ 17118 ; the freight revenues of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ; the freight revenues of % ( % ) change 2009 v 2008 is ( 22 ) % ( % ) ;
table_2: millions the other revenues of 2010 is 896 ; the other revenues of 2009 is 770 ; the other revenues of 2008 is 852 ; the other revenues of % ( % ) change 2010 v 2009 is 16 ; the other revenues of % ( % ) change 2009 v 2008 is -10 ( 10 ) ;
table_3: millions the total of 2010 is $ 16965 ; the total of 2009 is $ 14143 ; the total of 2008 is $ 17970 ; the total of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ; the total of % ( % ) change 2009 v 2008 is ( 21 ) % ( % ) ;
text_12: results of operations operating revenues millions 2010 2009 2008 % (  % ) change 2010 v 2009 % (  % ) change 2009 v 2008 .
Program: add(16965, 14143), add(#0, 17970), divide(#1, const_3)
Answer:
str_answer: 16359.3
exe_answer: 16359.33333