{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T04:11:24Z","timestamp":1783483884492,"version":"3.55.0"},"reference-count":41,"publisher":"Informa UK Limited","issue":"5","content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent Transportation Systems"],"published-print":{"date-parts":[[2022,9,3]]},"DOI":"10.1080\/15472450.2021.1944133","type":"journal-article","created":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T10:06:34Z","timestamp":1625133994000},"page":"572-585","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":12,"title":["Constructing spatiotemporal driving volatility profiles for connected and automated vehicles in existing highway networks"],"prefix":"10.1080","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7452-7847","authenticated-orcid":false,"given":"Xing","family":"Fu","sequence":"first","affiliation":[{"name":"Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, Alabama, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5940-5569","authenticated-orcid":false,"given":"Qifan","family":"Nie","sequence":"additional","affiliation":[{"name":"Alabama Transportation Institute, The University of Alabama, Tuscaloosa, Alabama, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6336-4931","authenticated-orcid":false,"given":"Jun","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, Alabama, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0790-7794","authenticated-orcid":false,"given":"Asad","family":"Khattak","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, The University of Tennessee, Knoxville, Tennessee, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Hainen","sequence":"additional","affiliation":[{"name":"Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, Alabama, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9232-945X","authenticated-orcid":false,"given":"Shashi","family":"Nambisan","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering and Construction, The University of Nevada, Las Vegas, Las Vegas, Nevada, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"301","published-online":{"date-parts":[[2021,7,1]]},"reference":[{"key":"CIT0001","volume-title":"Autonomous vehicle technology: A guide for policymakers","author":"Anderson J. M.","year":"2014"},{"key":"CIT0003","unstructured":"Berman, B. (2016). Whoever owns the maps owns the future of self-driving cars. http:\/\/www.popularmechanics.com\/cars\/a21609\/here-maps-future-of-self-driving-cars\/"},{"key":"CIT0004","doi-asserted-by":"publisher","DOI":"10.1016\/j.trf.2019.03.017"},{"key":"CIT0005","doi-asserted-by":"publisher","DOI":"10.1016\/S1352-2310(00)00217-X"},{"key":"CIT0006","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2016.04.002"},{"key":"CIT0007","doi-asserted-by":"publisher","DOI":"10.1016\/S1361-9209(01)00003-7"},{"key":"CIT0008","unstructured":"Etherington, D. (2019). Lyft opens to the public autonomous driving data set from its Level 5 self-driving fleet. https:\/\/techcrunch.com\/2019\/07\/23\/lyft-opens-autonomous-driving-dataset-from-its-level-5-self-driving-fleet-to-the-public"},{"key":"CIT0009","doi-asserted-by":"publisher","DOI":"10.1007\/s11116-016-9729-z"},{"key":"CIT0010","unstructured":"Gordon, T., Sardar, H., Blower, D., Ljung Aust, M., Bareket, Z., Barnes, M., Blankespoor, A., Isaksson-Hellman, I., Ivarsson, J., Juhas, B., Nobukawa, K. & Theander, H. (2010). Advanced crash avoidance technologies (ACAT) program-final report of the volvo-ford-umtri project: Safety impact methodology for lane departure warning-method development and estimation of benefits [No. DOT HS 811 405]. National Highway Traffic Safety Administration."},{"key":"CIT0012","unstructured":"Hawkins, A. J. (2019). Cruise postpones plan to launch driverless taxi service in 2019. https:\/\/www.theverge.com\/2019\/7\/24\/20707242\/cruise-gm-self-driving-taxi-launch-delay-2019"},{"key":"CIT0013","volume-title":"Safety pilot model deployment\u2013one day sample data environment data handbook","author":"Henclewood D.","year":"2014"},{"key":"CIT0014","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557321"},{"key":"CIT0015","doi-asserted-by":"crossref","unstructured":"Hwang, J. R., Kang, H. Y. & Li, K. J. (2006, September). Searching for similar trajectories on road networks using spatio-temporal similarity. In East European Conference on Advances in Databases and Information Systems (pp. 282\u2013295). Springer. https:\/\/doi.org\/10.1007\/11827252_22","DOI":"10.1007\/11827252_22"},{"key":"CIT0016","unstructured":"General Motors. (2018). Self-driving safety report. General Motors. https:\/\/www.gm.com\/content\/dam\/company\/docs\/us\/en\/gmcom\/gmsafetyreport.pdf"},{"key":"CIT0017","doi-asserted-by":"publisher","DOI":"10.1177\/0361198118773869"},{"key":"CIT0018","unstructured":"Kaplan, D. (2019). HERE is bringing 3D maps to BMW group and Daimler Mercedes-Benz models. https:\/\/geomarketing.com\/here-is-bringing-3d-maps-to-bmw-group-and-daimler-mercedes-benz-models"},{"key":"CIT0019","unstructured":"Kim, E. & Choi, E. (2013). Estimates of critical values of aggressive acceleration from a viewpoint of fuel consumption and emissions [No. 13-3443]. TechCrunch."},{"key":"CIT0020","unstructured":"Korosec, K. (2019). Tesla\u2019s full self-driving computer is now in all new cars and a next-gen chip is already \u2018halfway done\u2019. https:\/\/techcrunch.com\/2019\/04\/22\/teslas-computer-is-now-in-all-new-cars-and-a-next-gen-chip-is-already-halfway-done\/?renderMode=ie11"},{"key":"CIT0021","doi-asserted-by":"publisher","DOI":"10.3141\/2566-01"},{"key":"CIT0022","unstructured":"LeBeau, P. (2019). Waymo makes autonomous vehicles available to Lyft riders. https:\/\/www.cnbc.com\/2019\/06\/27\/waymo-makes-autonomous-vehicles-available-to-lyft-riders.html"},{"key":"CIT0023","unstructured":"Lee, S., Choi, Y., Lim, S. & Park, J. (2015). A spatio-temporal distance based clustering approach for discovering significant places from trajectory data [Paper presentation]. International Conference on Computer Science, Data Mining and Mechanical Engineering."},{"key":"CIT0024","volume-title":"Transportation Research Board 95th Annual Meeting","volume":"1","author":"Li T.","year":"2016"},{"key":"CIT0025","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2016.03.009"},{"key":"CIT0026","doi-asserted-by":"publisher","DOI":"10.1080\/15472450.2019.1699076"},{"key":"CIT0027","doi-asserted-by":"publisher","DOI":"10.1177\/0361198118773889"},{"key":"CIT0028","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2017.10.012"},{"key":"CIT0029","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.01.028"},{"key":"CIT0030","doi-asserted-by":"publisher","DOI":"10.1007\/s11116-017-9811-1"},{"key":"CIT0031","volume-title":"Transportation Research Board 96th Annual Meeting","author":"Liu J.","year":"2017"},{"key":"CIT0032","unstructured":"Liu, J., Wang, X. & Khattak, A. (2014). Generating real-time driving volatility information. In 2014 World Congress on Intelligent Transport Systems."},{"key":"CIT0034","unstructured":"MacDonald, B. (2019). Advances in driver-assisted technology move carmakers closer to a self-driving future. www.ocregister.com. https:\/\/www.ocregister.com\/2019\/07\/16\/advances-in-driver-assisted-technology-move-carmakers-closer-to-a-self-driving-future"},{"key":"CIT0036","unstructured":"Najm, W. G., Koopmann, J., Smith, J. D. & Brewer, J. (2010). Frequency of target crashes for intellidrive safety systems [No. DOT HS 811 381]. National Highway Traffic Safety Administration."},{"key":"CIT0501","unstructured":"NVIDIA, L.L.C. (2018). Self-driving safety report. https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/self-driving-cars\/safety-report\/NVIDIA-Self-Driving-Safety-Report-2018.pdf"},{"key":"CIT0037","unstructured":"Schweber, B. (2017). The autonomous car: A diverse array of sensors drives navigation, driving, and performance. Mouser Electronics. http:\/\/www.mouser.com\/applications\/autonomous-car-sensors-drive-performance\/"},{"key":"CIT0038","unstructured":"Southeast Michigan Council of Governments. (2019). SEMCOG\u2019s open data portal. https:\/\/maps-semcog.opendata.arcgis.com\/"},{"key":"CIT0040","unstructured":"U.S. Department of Transportation. (2018). Preparing for the future of transportation: Automated vehicles, 3.0. https:\/\/www.transportation.gov\/sites\/dot.gov\/files\/docs\/policy-initiatives\/automated-vehicles\/320711\/preparing-future-transportation-automated-vehicle-30.pdf"},{"key":"CIT0041","unstructured":"U.S. Department of Transportation. (2019). Safety pilot model deployment data. https:\/\/data.transportation.gov\/Automobiles\/Safety-Pilot-Model-Deployment-Data\/a7qq-9vfe"},{"key":"CIT0042","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2014.12.014"},{"key":"CIT0043","unstructured":"Waymo, L. L. C. (2017). Waymo safety report: On the road to fully self-driving. https:\/\/storage.googleapis.com\/sdc-prod\/v1\/safety-report\/Safety%20Report%20-2018.pdf"},{"key":"CIT0044","unstructured":"Wilson, R. (2017). CES: Autonomous cars and the sensors to make them safe. https:\/\/www.electronicsweekly.com\/market-sectors\/automotive-electronics\/ces-autonomous-cars-sensors-make-safe-2017-01\/"},{"key":"CIT0045","unstructured":"WiseGuyReports. (2019). 3D map system market 2019-2025: Technology, future trends. https:\/\/consumerreportsreview.com\/3d-map-system-market-2019-2025-technology-future-trends-top-key-players-robert-bosch-continental-denso-aptiv-here-and-more"}],"container-title":["Journal of Intelligent Transportation Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/15472450.2021.1944133","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,30]],"date-time":"2022-08-30T00:40:50Z","timestamp":1661820050000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/15472450.2021.1944133"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,1]]},"references-count":41,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,9,3]]}},"alternative-id":["10.1080\/15472450.2021.1944133"],"URL":"https:\/\/doi.org\/10.1080\/15472450.2021.1944133","relation":{},"ISSN":["1547-2450","1547-2442"],"issn-type":[{"value":"1547-2450","type":"print"},{"value":"1547-2442","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7,1]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=gits20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=gits20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2020-05-19","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-04-02","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-07","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-07-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}