کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
526279 869086 2016 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Personalized real-time traffic information provision: Agent-based optimization model and solution framework
ترجمه فارسی عنوان
تخصیص اطلاعات شخصی در زمان واقعی: مدل بهینه سازی مبتنی بر عامل و چارچوب راه حل
کلمات کلیدی
مدل سازی مبتنی بر عامل، مدل سازی شبکه، ارائه اطلاعات مسافر، مدیریت ترافیک دینامیک
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• Propose agent-based optimization modeling framework to provide personalized traffic information.
• Develop a dynamic flow based integer programming model to optimize various information strategies.
• Propose analytical model can be solved efficiently using standard optimization solvers.
• Develop a Lagrangian Relaxation-based heuristic within a mesoscopic dynamic traffic simulator.

The advancement of information and communication technology allows the use of more sophisticated information provision strategies for real-time congested traffic management in a congested network. This paper proposes an agent-based optimization modeling framework to provide personalized traffic information for heterogeneous travelers. Based on a space–time network, a time-dependent link flow based integer programming model is first formulated to optimize various information strategies, including elements of where and when to provide the information, to whom the information is given, and what alternative route information should be suggested. The analytical model can be solved efficiently using off-the-shelf commercial solvers for small-scale network. A Lagrangian Relaxation-based heuristic solution approach is developed for medium to large networks via the use of a mesoscopic dynamic traffic simulator.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part C: Emerging Technologies - Volume 64, March 2016, Pages 164–182
نویسندگان
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