پژوهشنامه حمل و نقل

پژوهشنامه حمل و نقل

توسعه روابط سرعت مکانی و زمانی در ظرفیت آزادراه تهران و کرج

نوع مقاله : مقاله پژوهشی

نویسندگان
امیرحسین جشنیان
مهدی تمدن گوهر
دانشجوی دکتری، دانشکده عمران، معماری و هنر، دانشگاه آزاد اسلامی واحد علوم تحقیقات تهران، تهران، ایران
10.22034/tri.2025.499779.3313
چکیده
برای حفظ ایمنی و مدیریت بهینه ترافیک، رعایت سرعت‌های مکانی و زمانی بر اساس داده‌های بومی و ظرفیت بزرگراه ضروری است، به‌ویژه در مواجهه با کاهش ناگهانی سرعت خودروی جلویی. در این پژوهش، داده‌های ثبت‌شده از دوربین‌های ترددشمار و پایگاه داده پلیس راهور در سال 2021 جمع‌آوری و با استفاده از نرم‌افزار SPSS تحلیل شد. روش تحقیق شامل تحلیل همبستگی پیرسون و مدل‌سازی روابط سرعت مکانی و زمانی بر اساس داده‌های تجربی بوده است. نوآوری این پژوهش در ارائه مدل‌های کالیبره‌شده بر اساس شرایط ترافیکی بومی ایران و مقایسه آن با استانداردهای بین‌المللی است. نتایج نشان داد که بین سرعت مکانی و زمانی رابطه مثبت و بسیار قوی وجود دارد و با افزایش سرعت زمانی، سرعت مکانی نیز افزایش می‌یابد. همچنین، سطح معناداری آزمون برابر صفر است که نشان‌دهنده قطعیت آماری نتایج است. این یافته‌ها می‌توانند در طراحی مدل‌های ترافیکی، بهینه‌سازی ظرفیت آزادراه‌ها و افزایش ایمنی تردد در جاده‌ها مؤثر باشند.
کلیدواژه‌ها
روابط سرعت مکانی
زمانی
ظرفیت آزادراه
تهران و کرج

موضوعات

عنوان مقاله English

Development of Spatial and Temporal Speed Relationships in the Capacity of Tehran and Karaj Freeways

نویسندگان English

Amir Hossein Jashnian
Mahdi Tamaddon gohar
Ph.D., Candidate, Faculty of Civil Engineering, Architecture, and Art, Islamic Azad University, Science and Research Branch, Tehran, Iran.
چکیده English

To ensure safety and optimize traffic management, adherence to spatial and temporal speeds based on native data and highway capacity is essential, particularly when facing sudden deceleration of the leading vehicle. In this study, data recorded by traffic surveillance cameras and the Police Traffic Organization's database from 2021 were collected and analyzed using SPSS software. The research methodology included Pearson correlation analysis and modeling of spatial and temporal speed relationships based on empirical data. The novelty of this study lies in the development of calibrated models based on Iran's local traffic conditions and their comparison with international standards. The results indicated a strong positive relationship between spatial and temporal speeds, where an increase in temporal speed leads to an increase in spatial speed. Additionally, the significance level of the test was zero, confirming the statistical reliability of the findings. These results can be effectively utilized in traffic modeling, freeway capacity optimization, and improving road safety.

کلیدواژه‌ها English

Spatial Speed Relationships
Time
Freeway Capacity
Tehran and Karaj
-Chung, Y., and W. W. Recker (2012). A methodological approach for estimating temporal and spatial extent of delays caused by freeway accidents. IEEE Transactions on Intelligent Transportation Systems 13, No. 3 1454-1461.
-Farazmand, A., & Farazmand, K. (2017). Characteristics of traffic flow and its understanding nature. Proceedings of the International Conference on Civil Engineering, Architecture, and Urbanism of Contemporary Iran, Tehran. (In Persian).
-Huang, Y., K. Shi, H. Zong, T. Zhou, and J. Shen (2019). Exploring spatial and temporal connection patterns among the districts in Chongqing based on highway passenger flow. Remote Sensing 12, No. 1, 27.
-Lin, P., Y. He, M. Pei, and R. Yang (2022).  Data-driven spatial-temporal analysis of highway traffic volume considering weather and festival impacts. Travel Behaviour and Society 29, 95-112.
-Martínez-Díaz, Margarita, and Ignacio Pérez  (2015). A simple algorithm for the estimation of road traffic space mean speeds from data available to most management centres. Transportation Research Part B: Methodological 75: 19-35.
-National Academies of Sciences, Engineering, and Medicine. (2022). Highway Capacity Manual 7th Edition: A Guide for Multimodal Mobility Analysis. Washington, DC. The National Academies Press, 2022.
-Pritam Saha (2019). Preferred time headway of drivers on two-lane highways with heterogeneous traffic, Transportation Letters, Vol. 11, Issue 4, 200-207.
-O. C. Puan­ (2019). Drivers behaviour on expressways: headway and speed relationships. National Cooperative Highway Research Program, Washington, DC, USA.
-Seif, M., Molayem, M., & Abbasi, M. (2016). Calibration of the relationship between spatial and temporal average speeds based on Iranian drivers' behavior: A case study of Tehran-Qom Highway. Proceedings of the 16th International Conference on Transportation and Traffic Engineering, Tehran. (In Persian)
-Soriguera, F., and F. Robusté (2011). Estimation of traffic stream space mean speed from time aggregations of double loop detector data. Transportation research part C: emerging technologies 19, No. 1: 115-129.
-Seetharaman, Padma, Madhu Errampalli, Velmurugan Senathipati, Anuradha Shukla, and Subhamay Gangopadhyay (2011). Modeling time mean speed and space mean speed for heterogeneous traffic conditions. Transportation Planning and Technology 34, No. 8, 823-838.
-Tavakoli, S., Sadat Hosseini, S. M., & Monajem, S. (2023). Feasibility study of implementing spatio-temporal management methods: Lane relocation between opposing directions (case study of Shahid Hemmat Highway). Scientific-Research Journal of Transportation Research, Vol. 20, No. 2, 237-250. (In Persian)
-Yang Teng­, (2020). Modelling the Relationships between Headway and Speed in Saturation Flow of Signalised Intersections, Smart Transportation System, 179-188.
-Zhang, B., S. Cheng, P. Wang, and F. Lu. (2024). Inferring freeway traffic volume with spatial interaction enhanced between centrality. International Journal of Applied Earth Observation and Geoinformation 129: 103818.