A Study on Traffic Flow Characteristics and Volume Analysis for Future Solution – A Case Study at Sony Square to Mirpur 10

A Study on Traffic Flow Characteristics and Volume Analysis for Future Solution – A Case Study at Sony Square to Mirpur 10 | 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 A Study on Traffic Flow Characteristics and Volume Analysis for Future Solution – A Case Study at Sony Square to Mirpur 10 Md. Shakil This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7064026/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 Traffic congestion is a growing concern in rapidly urbanizing cities, particularly in Dhaka, where mixed traffic conditions and poor infrastructure exacerbate delays and reduce mobility. This study aims to evaluate traffic flow characteristics and volume along the corridor from Sony Square to Mirpur 10 and identify the key contributors to congestion. The research follows a systematic methodology involving manual traffic volume counts using tally counters and video recordings at strategic locations across four daily time slots over ten consecutive days. The collected data were categorized by vehicle type and analyzed through conversion to Passenger Car Units (PCU) to standardize heterogeneous traffic. Microsoft Excel was employed for data tabulation, graphical analysis, and service flow rate calculations. The Highway Capacity Manual (HCM) framework was used to evaluate the Level of Service (LOS) at different times of day. The findings reveal that evening peak hours exhibit the most critical congestion levels (LOS F), while morning peaks also approach capacity (LOS E). Midday and afternoon periods show relatively smoother flow (LOS B and LOS C/D, respectively). Contributing factors to congestion include excessive vehicular traffic, the absence of dedicated lanes, inefficient signal timings, unauthorized street parking, and a lack of traffic discipline among both pedestrians and drivers. Based on these insights, the study proposes practical recommendations, including the implementation of dedicated lanes, optimized signal coordination, strict enforcement of parking regulations, and enhanced public transportation operations. These strategies aim to alleviate congestion and support efficient traffic management in urban corridors, such as Mirpur 10. Manual Traffic Survey Mixed Traffic Flow Passenger Car Unit (PCU) Peak Hour Congestion Traffic Flow Analysis Urban Mobility Volume-to-Capacity Ratio 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-7064026","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":482522060,"identity":"b9dc27da-1807-49d1-8448-f5c614e42410","order_by":0,"name":"Md. 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