یک تحلیل عملکرد سفرهای اشتراکی، مطالعه تطبیقی خودروهای خودران

نوع مقاله : علمی - پژوهشی

نویسندگان
علی رحمانی 1
امیر رضا ممدوحی 2
1 کارشناس ارشد، گروه برنامه‌ریزی حمل‌ونقل، دانشکده مهندسی عمران و محیط‌زیست، دانشگاه تربیت مدرس، ایران
2 دانشیار دانشکده مهندسی عمران و محیط‌زیست، دانشگاه تربیت مدرس، ایران
10.22119/jte.2024.434036.2694
چکیده
خودروهای خودران یکی از ابزارهای اصلی در حوزه حمل‌ونقل هوشمند و پایدار هستند که با استفاده از فناوری‌های نوظهور مانند هوش مصنوعی، حسگرها و سیستم‌های ناوبری پیشرفته، بدون نیاز به راننده انسانی، قادر به حرکت هستند. همین امر باعث ایجاد پتانسیل‌های جدیدی برای بهینه‌سازی سیستم‌های حمل‌ونقل شهری و کاهش مشکلات مرتبط با ترافیک می‎‌شود. یکی از موارد استفاده از خودروهای خودران، عرضه در قالب شیوه سفرهای اشتراکی است که مشابه هر فناوری دیگری، با چالش‌ها و مسائلی مواجه بوده که نیازمند راه‌حل و استراتژی‌های مناسب هست. در این مطالعه، با بهره‌گیری از شبیه‌سازی خردنگر بخشی از شبکه شهرهای تهران و شیراز، به اثرسنجی حضور خودرو خودران اشتراکی و مقایسه نتایج در دو شبکه موردمطالعه پرداخته می‌شود. نتایج نشان می‌دهند که حضور خودرو خودران اشتراکی در صورت داشتن اشتراک سواری، می‌تواند وسیله کیلومتر طی شده را کاهش و یا اثر کیلومتر طی شده خالی را تعدیل کند. در مقابل، خودرو خودران اشتراکی در صورتی که فاقد اشتراک سواری باشد، وسیله کیلومتر طی شده در شبکه شهرهای تهران و شیراز را به ترتیب تا حداکثر ٢٨ و ٤١ درصد، نسبت به سناریو پایه افزایش می‌دهد. سرعت متوسط در شبکه، تحت تأثیر سیاست اشتراک، اندازه ناوگان و نرخ نفوذ است. خودرو خودران اشتراکی در صورت داشتن اشتراک سواری، در کمترین اندازه ناوگان فرض شده، سرعت متوسط در شبکه شهرهای تهران و شیراز را به ترتیب تا ٨ و ٢٥ درصد افزایش می‌دهد. این در حالی است که در سناریوهایی که اندازه ناوگان در بیشترین مقدار فرض شده است، خوخا سرعت متوسط شبکه را کاهش می‌دهد.

کلیدواژه‌ها

موضوعات

عنوان مقاله English

A Performance Analysis of Shared Trips, a Comparative Study of Autonomous Vehicles (AVs)

نویسندگان English

Ali Rahmani 1
Amir Reza Mamdoohi 2
1 M.Sc., Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran
2 Associate Professor of Transportation Planning, Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran
چکیده English

Autonomous vehicles (AVs) represent a pivotal technology within the realm of smart and sustainable transportation systems. By harnessing cutting-edge technologies like artificial intelligence, sensors, and advanced navigation systems, AVs operate autonomously without the need for human intervention. This innovation opens new horizons for optimizing urban transportation networks and curtailing traffic challenges. One significant application of AVs lies in their integration into shared mobility systems, albeit accompanied by a distinct set of hurdles necessitating tailored solutions and strategic approaches.
This study employs micro-simulation models to assess the impact of Shared Autonomous Vehicles (SAVs) within a segment of the urban networks of Tehran and Shiraz. The findings juxtapose the outcomes across both cities. The presence of SAVs equipped with ride-sharing functionality demonstrates a decline in Vehicle Kilometers Traveled (VKT) or adjusts the empty VKT. Conversely, SAVs lacking ride-sharing features escalate VKT by up to 28% in Tehran and 41% in Shiraz compared to the base scenario. The mean network speed is contingent upon factors such as ride-sharing protocols, fleet size, and market penetration rate. SAVs incorporating ride-sharing schemes with minimal fleet sizes enhance average speeds by 8% in Tehran and 25% in Shiraz. Conversely, instances where fleet sizes maximize lead to diminished average network speeds.

کلیدواژه‌ها English

Ride sharing
Shared Autonomous Vehicles (SAV) simulation
average speed
waiting time
vehicle kilometers traveled (VKT)
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  • تاریخ دریافت 17 دی 1402
  • تاریخ بازنگری 19 اردیبهشت 1403
  • تاریخ پذیرش 23 خرداد 1403