{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T18:58:36Z","timestamp":1776884316738,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":64,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,8,5]],"date-time":"2019-08-05T00:00:00Z","timestamp":1564963200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Rutgers Global Center"},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["1849238"],"award-info":[{"award-number":["1849238"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,8,5]]},"DOI":"10.1145\/3300061.3300130","type":"proceedings-article","created":{"date-parts":[[2019,8,5]],"date-time":"2019-08-05T13:20:41Z","timestamp":1565011241000},"page":"1-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":26,"title":["VeMo"],"prefix":"10.1145","author":[{"given":"Yu","family":"Yang","sequence":"first","affiliation":[{"name":"Rutgers University, Piscataway, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyang","family":"Xie","sequence":"additional","affiliation":[{"name":"Rutgers University, Piscataway, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhihan","family":"Fang","sequence":"additional","affiliation":[{"name":"Rutgers University, Piscataway, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Advanced Technology, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Suzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Desheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Rutgers University, Piscataway, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,8,5]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"511nj. 2017. 511NJ: Get Connected and go! http:\/\/www.511nj.org\/ cameras.aspx. (2017).  511nj. 2017. 511NJ: Get Connected and go! http:\/\/www.511nj.org\/ cameras.aspx. (2017)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2426656.2426671"},{"key":"e_1_3_2_1_3_1","volume-title":"Keyvan Rezaei Moghadam, and Bhaskar Krishnamachari","author":"Bai Fan","year":"2015","unstructured":"Fan Bai , Keyvan Rezaei Moghadam, and Bhaskar Krishnamachari . 2015 . A tale of two cities-Characterizing social community structures of fleet vehicles for modeling V2V information dissemination.. In SECON. 506-- 514. Fan Bai, Keyvan Rezaei Moghadam, and Bhaskar Krishnamachari. 2015. A tale of two cities-Characterizing social community structures of fleet vehicles for modeling V2V information dissemination.. In SECON. 506-- 514."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1402946.1403006"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2012.07.001"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2010.01.007"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2594368.2601456"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOM.2011.5767589"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/0191-2615(94)90022-1"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2014.6848175"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2517840.2517871"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2370216.2370242"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3264916"},{"key":"e_1_3_2_1_14_1","volume-title":"The elements of statistical learning","author":"Friedman Jerome","unstructured":"Jerome Friedman , Trevor Hastie , and Robert Tibshirani . 2001. The elements of statistical learning . Vol. 1 . Springer series in statistics New York. Jerome Friedman, Trevor Hastie, and Robert Tibshirani. 2001. The elements of statistical learning. Vol. 1. Springer series in statistics New York."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2632048.2632077"},{"key":"e_1_3_2_1_16_1","unstructured":"GHSA. 2018. Speed Cameras on Highways. https:\/\/www.ghsa.org\/ state-laws\/issues\/speed-and-red-light-cameras. (2018).  GHSA. 2018. Speed Cameras on Highways. https:\/\/www.ghsa.org\/ state-laws\/issues\/speed-and-red-light-cameras. (2018)."},{"key":"e_1_3_2_1_17_1","volume-title":"Understanding individual human mobility patterns. nature 453, 7196","author":"Gonzalez Marta C","year":"2008","unstructured":"Marta C Gonzalez , Cesar A Hidalgo , and Albert-Laszlo Barabasi . 2008. Understanding individual human mobility patterns. nature 453, 7196 ( 2008 ), 779. Marta C Gonzalez, Cesar A Hidalgo, and Albert-Laszlo Barabasi. 2008. Understanding individual human mobility patterns. nature 453, 7196 (2008), 779."},{"key":"e_1_3_2_1_18_1","unstructured":"Google. 2017. Google Map. https:\/\/www.google.com\/maps. (2017).  Google. 2017. Google Map. https:\/\/www.google.com\/maps. (2017)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.5555\/1237963"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2008.04.002"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2821650.2821665"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2996913.2996934"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/1860058.1860061"},{"key":"e_1_3_2_1_24_1","unstructured":"Insurance Information Institute. 2017. Highway safety. https:\/\/www. iii.org\/fact-statistic\/facts-statistics-highway-safety. (2017).  Insurance Information Institute. 2017. Highway safety. https:\/\/www. iii.org\/fact-statistic\/facts-statistics-highway-safety. (2017)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/582415.582418"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3078850"},{"key":"e_1_3_2_1_27_1","unstructured":"Balaji Lakshminarayanan Daniel M Roy and Yee Whye Teh. 2014. Mondrian forests: Efficient online random forests. In Advances in neural information processing systems. 3140--3148.   Balaji Lakshminarayanan Daniel M Roy and Yee Whye Teh. 2014. Mondrian forests: Efficient online random forests. In Advances in neural information processing systems. 3140--3148."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2684822.2685313"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2973750.2973751"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2820783.2820837"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3081333.3081344"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/1814433.1814448"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"Chuishi Meng Xiuwen Yi Lu Su Jing Gao and Yu Zheng. 2017. Citywide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories. (2017).  Chuishi Meng Xiuwen Yi Lu Su Jing Gao and Yu Zheng. 2017. Citywide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories. (2017).","DOI":"10.1145\/3139958.3139984"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1653771.1653818"},{"key":"e_1_3_2_1_35_1","unstructured":"NYC Department of Transportation. 2017. New York City Camera. http:\/\/dotsignals.org. (2017).  NYC Department of Transportation. 2017. New York City Camera. http:\/\/dotsignals.org. (2017)."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3274783.3274850"},{"key":"e_1_3_2_1_37_1","first-page":"1","article-title":"Decentralised reinforcement learning for ramp metering and variable speed limits on highways","volume":"14","author":"Schmidt-Dumont Thorsten","year":"2015","unstructured":"Thorsten Schmidt-Dumont and Jan H van Vuuren . 2015 . Decentralised reinforcement learning for ramp metering and variable speed limits on highways . IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 14 , 8 (2015), 1 . Thorsten Schmidt-Dumont and Jan H van Vuuren. 2015. Decentralised reinforcement learning for ramp metering and variable speed limits on highways. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 14, 8 (2015), 1.","journal-title":"IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS"},{"key":"e_1_3_2_1_38_1","volume-title":"Number of internet users who used the internet for route planning,to access maps or road maps (e.g. Google Maps) in Germany from 2013 to","year":"2016","unstructured":"Statista. 2017. Number of internet users who used the internet for route planning,to access maps or road maps (e.g. Google Maps) in Germany from 2013 to 2016 , by frequency (in millions). https:\/\/www.statista.com\/statistics\/432169\/ online-route-planning-and-map-usage-eg-google-maps-germany. (2017). Statista. 2017. Number of internet users who used the internet for route planning,to access maps or road maps (e.g. Google Maps) in Germany from 2013 to 2016, by frequency (in millions). https:\/\/www.statista.com\/statistics\/432169\/ online-route-planning-and-map-usage-eg-google-maps-germany. (2017)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2273876"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/1869983.1869993"},{"key":"e_1_3_2_1_41_1","unstructured":"Arvind Thiagarajan Lenin Ravindranath Hari Balakrishnan Samuel Madden and Lewis Girod. 2011. Accurate low-energy trajectory mapping for mobile devices. (2011).  Arvind Thiagarajan Lenin Ravindranath Hari Balakrishnan Samuel Madden and Lewis Girod. 2011. Accurate low-energy trajectory mapping for mobile devices. (2011)."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/1644038.1644048"},{"key":"e_1_3_2_1_43_1","unstructured":"US DOT. 2017. https:\/\/www.itscosts.its.dot.gov\/ITS\/benecost. nsf\/DisplayRUCByUnitCostElementUnadjusted?ReadForm& UnitCostElement=CCTV+Video+Camera&Subsystem=Roadside+ Detection+(RS-D). (2017).  US DOT. 2017. https:\/\/www.itscosts.its.dot.gov\/ITS\/benecost. nsf\/DisplayRUCByUnitCostElementUnadjusted?ReadForm& UnitCostElement=CCTV+Video+Camera&Subsystem=Roadside+ Detection+(RS-D). (2017)."},{"key":"e_1_3_2_1_44_1","unstructured":"US DOT. 2017. CV Pilots Take Advantage of Multiple Communication Media. https:\/\/www.its.dot.gov\/pilots\/cvp_media.htm. (2017).  US DOT. 2017. CV Pilots Take Advantage of Multiple Communication Media. https:\/\/www.its.dot.gov\/pilots\/cvp_media.htm. (2017)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2014.02.018"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1260\/2046-0430.4.3.337"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/174123"},{"key":"e_1_3_2_1_48_1","unstructured":"Wired. 2017. Dynamic tolls in Virginia. https:\/\/www.wired.com\/story\/ virginia-i66-toll-road\/. (2017).  Wired. 2017. Dynamic tolls in Virginia. https:\/\/www.wired.com\/story\/ virginia-i66-toll-road\/. (2017)."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287074"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3191777"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971664"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/2639108.2639111"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3191780"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2015.2411270"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/2030613.2030630"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2016.2627224"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/2639108.2639116"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/2735960.2735985"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"crossref","unstructured":"Junbo Zhang Yu Zheng and Dekang Qi. 2017. Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction.. In AAAI. 1655--1661.   Junbo Zhang Yu Zheng and Dekang Qi. 2017. Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction.. In AAAI. 1655--1661.","DOI":"10.1609\/aaai.v31i1.10735"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.396"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/2639108.2639114"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1177\/1687814018760932"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/2809695.2809726"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3055004.3055009"}],"event":{"name":"MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking","location":"Los Cabos Mexico","acronym":"MobiCom '19","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"]},"container-title":["The 25th Annual International Conference on Mobile Computing and Networking"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3300061.3300130","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3300061.3300130","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3300061.3300130","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:52Z","timestamp":1750202632000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3300061.3300130"}},"subtitle":["Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration"],"short-title":[],"issued":{"date-parts":[[2019,8,5]]},"references-count":64,"alternative-id":["10.1145\/3300061.3300130","10.1145\/3300061"],"URL":"https:\/\/doi.org\/10.1145\/3300061.3300130","relation":{},"subject":[],"published":{"date-parts":[[2019,8,5]]},"assertion":[{"value":"2019-08-05","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}