پژوهشنامه حمل و نقل

پژوهشنامه حمل و نقل

بررسی رفتار تعقیب خودرو در بزرگراه‌های درون‌شهری (مطالعه موردی: بزرگراه مدرس تهران)

نوع مقاله : مقاله پژوهشی

نویسندگان
1 دانشجوی کارشناسی ارشد، گروه مهندسی عمران، موسسه آموزش عالی علاء الدوله سمنانی، گرمسار، ایران
2 استادیار، گروه مهندسی عمران، دانشگاه قم، قم، ایران
3 دانشجوی کارشناسی ارشد، گروه مهندسی عمران، دانشگاه قم، قم، ایران
چکیده
شناخت رفتار تعقیب خودرو با ارائه مدل‌ پیش‌بینی رفتار رانندگان، متناسب با رفتارهای اجتماعی یک منطقه و اقلیم می‌تواند در ایجاد فاصلۀ ایمن کمک نموده و موجب عدم وقوع تصادفات جلو به عقب در جریان ترافیک گردد. حداقل فاصلۀ ایمن بین خودروی پیرو که با سرعت مشخص در تعقیب وسیله جلویی خود قرار دارد را می‌توان با ایجاد روابط بین سرعت و سرفاصلۀ مکانی بدست آورد و وابستگی عکس‌العمل خودرو پیرو را به عمل خودرو جلویی پیش‌بینی نمود. در این پژوهش با پردازش اطلاعات ترافیکی خودروهای عبوری از بزرگراه مدرس از طریق فیلم‌برداری خودروهای در تعقیب با استفاده از نرم افزارSPSS ، متداول‌ترین روابط خطی، لگاریتمی، نمایی و سهمی با هم مورد مقایسه قرار گرفته‌اند. نتایج مقایسه نشان داد که بهترین مدل رگرسیون برای سرعت و سرفاصلۀ مکانی، سهمی درجه دو با ضریب تعیین R2 برابر 0/943 است و بهترین مدل برای سرعت و سرفاصلۀ زمانی نیز سهمی درجه دو بوده که در مقایسه با سرفاصلۀ مکانی، سرعت با سر فاصلۀ زمانی ارتباط کمتری دارد. چراکه مقدار سرفاصلۀ زمانی در اغلب مواقع ثابت بوده و تغییرات کمتری نسبت به سرفاصلۀ مکانی دارد. بررسی روابط سهمی درجه دو سرعت و سرفاصله نشان داد که متغیر سرعت با سرفاصلۀ مکانی رابطه مستقیم داشته و با افزایش سرعت، سرفاصلۀ مکانی نیز افزایش می‌یابد، چراکه رانندگان به منظور افزایش ایمنی در سرعت بالا، فاصلۀ خود را نسبت به خودروی جلویی افزایش می‌دهند. لیکن رابطه سرعت و سرفاصلۀ زمانی با یکدیگر معکوس بوده و با افزایش سرعت رانندگان، سرفاصلۀ زمانی کاهش پیدا می‌کند.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Studying the Car Following Behavior of Vehicles in Urban Highways (Case Study: Tehran's Modares Highway)

نویسندگان English

Abbas Ramezani Khansari 1
Mohamad Hosein Dehnad 2
sajad Abdi Shijani 3
1 M.Sc., Student, Department of Civil Engineering, Alaodoleh Semnani Education Institute of Semnan, Garmsar, Iran.
2 Assistant Professor, Department of Civil Engineering, University of Qom, Qom, Iran.
3 M.Sc., Student, Department of Civil Engineering, University of Qom, Qom, Iran.
چکیده English

Knowing the behavior of car chases by providing a prediction model of drivers' behavior, according to the social behaviors of that region and climate, can help in creating a safe distance and prevent the occurrence of front-to-back accidents in the traffic flow. The minimum safe distance between the following vehicles that is following the vehicle in front at a certain speed can be obtained by creating linear, logarithmic, exponential, and proportional relations between the speed and the spatial distance and predicting the reaction of the following vehicle, which is dependent on the action of the front vehicle.

In this research, by processing the traffic information of cars passing through the Modares-highway by filming the following cars using MS Office Excel and SPSS software, the most common linear, logarithmic, exponential, and parametric relationships have been compared and the results of the comparison showed that the best The regression model for speed and spatial distance has a quadratic parabola with the coefficient of determination R2 equal to 0.943. This model has a quadratic parabola type for temporal distance with fewer changes compared to spatial distance.

Examining the proportional relationship between speed and head distance showed that the speed variable has a direct relationship with the head distance and with the increase in speed, the head distance also increased because, with the increase in speed, drivers increase their distance from the car in front of them t feel safe for Provide yourself. However, the relationship between speed and time interval is inverse to each other and as the speed of drivers increases, the time interval decreases.

کلیدواژه‌ها English

Car Following
Leading Vehicle
Time Headway
Spacing
Traffic
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