Inferring Traffic Patterns of Dhaka City: A Spatio-temporal Analysis over a Year

Inferring Traffic Patterns of Dhaka City: A Spatio-temporal Analysis over a Year | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Inferring Traffic Patterns of Dhaka City: A Spatio-temporal Analysis over a Year Md. Moshiur Rahman, Naushin Nower This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3827938/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Numerous large city’s sustainability and livability are severely hampered by traffic congestion. To create efficient measures to relieve this congestion, its vital to comprehend the spatiotemporal patterns of this congestion. Long-term spatiotemporal patterns analysis at the city level has seldom been studied for the megacities of developing countries. To fill the gap our study intends to shed light on the temporal patterns, spatial distribution, and recurrent patterns of traffic congestion to better understand traffic’s dynamic characteristics of the fifth most traffic congested city, Dhaka. By using a big data analytical technique a sample of 350400 records for Dhaka city over a year is analyzed. The traffic data have been collected from Google Maps using our proposed data collection tool. We perform extensive image processing and analyses to identify the peak hours, congestion pattern, relationship between zones, and the reason for extreme traffic congestion. This analysis offers insightful recommendations for infrastructure development, traffic control, and urban planning for the city, of Dhaka. For the analysis, the entire Dhaka city is divided into ten zones and our study reveals that every zone has a different congestion pattern and congestion varies at weekends and weekdays differently. These discoveries provide valuable geographic traffic insights. Congestion analysis Dhaka city Traffic patterns Spatial-temporal analysis Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3827938","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":264698919,"identity":"e243a75d-1bb6-4a33-a89b-147d72855f33","order_by":0,"name":"Md. Moshiur Rahman","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABC0lEQVRIiWNgGAWjYHACNoYEZC4/iEgoIF6LAYNkA0iLAQEtSMCAweAAhMYJdNvbnz142HaPgb//8AHmgj9/EjefX5344YEBgzy/2AGsWszOnDE3SGwrZpC4kZbAPLPNIHHbjbebJYAOM5w5OwG7lhs5bBKJbQkMBhI8Bsy8DSAtZzeAtCQY3MalJf0ZRAv/+Q/MPH8MEjfPOLv5B34tCWYQLQw5DMw8bAaJG/h7t+G35cwZM4mEcwk8QL8YHJ7ZZmw84wbvNosEAwncfjne/kzyR1mCHDDEHj4u+CMn299/dvPNHxU28vzS2LXAAA+IOAxmSoBVSuBVDgfMYJL/AHGqR8EoGAWjYMQAAJVHXnUbR7SCAAAAAElFTkSuQmCC","orcid":"","institution":"Bangabandhu Sheikh Mujibur Rahman Digital University","correspondingAuthor":true,"prefix":"","firstName":"Md.","middleName":"Moshiur","lastName":"Rahman","suffix":""},{"id":264698921,"identity":"a6248703-399a-4eaf-b915-0e8a84592b4d","order_by":1,"name":"Naushin Nower","email":"","orcid":"","institution":"University of Dhaka","correspondingAuthor":false,"prefix":"","firstName":"Naushin","middleName":"","lastName":"Nower","suffix":""}],"badges":[],"createdAt":"2024-01-01 18:29:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3827938/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3827938/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":50627602,"identity":"8cf49b63-f09b-4cd9-adc2-5989a156f53b","added_by":"auto","created_at":"2024-02-04 17:11:09","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3038163,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscripts.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3827938/v1_covered_12df96be-b011-4375-a588-b446ce6b8e02.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Inferring Traffic Patterns of Dhaka City: A Spatio-temporal Analysis over a Year","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Congestion analysis, Dhaka city, Traffic patterns, Spatial-temporal analysis","lastPublishedDoi":"10.21203/rs.3.rs-3827938/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3827938/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Numerous large city’s sustainability and livability are severely hampered by traffic congestion. To create efficient measures to relieve this congestion, its vital to comprehend the spatiotemporal patterns of this congestion. Long-term spatiotemporal patterns analysis at the city level has seldom been studied for the megacities of developing countries. To fill the gap our study intends to shed light on the temporal patterns, spatial distribution, and recurrent patterns of traffic congestion to better understand traffic’s dynamic characteristics of the fifth most traffic congested city, Dhaka. By using a big data analytical technique a sample of 350400 records for Dhaka city over a year is analyzed. The traffic data have been collected from Google Maps using our proposed data collection tool. We perform extensive image processing and analyses to identify the peak hours, congestion pattern, relationship between zones, and the reason for extreme traffic congestion. This analysis offers insightful recommendations for infrastructure development, traffic control, and urban planning for the city, of Dhaka. For the analysis, the entire Dhaka city is divided into ten zones and our study reveals that every zone has a different congestion pattern and congestion varies at weekends and weekdays differently. These discoveries provide valuable geographic traffic insights.","manuscriptTitle":"Inferring Traffic Patterns of Dhaka City: A Spatio-temporal Analysis over a Year","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-01-03 17:28:44","doi":"10.21203/rs.3.rs-3827938/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"01c4a978-4e2e-426d-9f95-fcba59c76e0e","owner":[],"postedDate":"January 3rd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-02-04T17:02:53+00:00","versionOfRecord":[],"versionCreatedAt":"2024-01-03 17:28:44","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3827938","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3827938","identity":"rs-3827938","version":["v1"]},"buildId":"_2-kVJe1T_tPrBINL-cwx","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}