Travel demand matrix estimation methods integrating the full richness of observed traffic flow data from congested networks

Dynamic Origin - Destination Demand Flow Estimation under Congested Traffic Conditions

This paper presents a single-level nonlinear optimization model to estimate dynamic origindestination (OD) demand. A path flow-based optimization model, which incorporates heterogeneous sources of traffic measurements and does not require explicit dynamic link-path incidences, is developed to minimize (i) the deviation between observed and estimated traffic states and (ii) the deviation between...

Dynamic Origin-Destination Demand Flow Estimation Utilizing Heterogeneous data sources under Congested Traffic Conditions

the effect of traffic density on the accident externality from driving the case study of tehran

در این پژوهش به بررسی اثر افزایش ترافیک بر روی تعداد تصادفات پرداخته شده است. به این منظور 30 تقاطع در شهر تهران بطور تصادفی انتخاب گردید و تعداد تصادفات ماهیانه در این تقاطعات در طول سالهای 89-90 از سازمان کنترل ترافیک شهر تهران استخراج گردید و با استفاده از مدل داده های تابلویی و نرم افزار eviews مدل خطی و درجه دوم تخمین زده شد و در نهایت این نتیجه حاصل شد که تقاطعات پر ترافیک تر تعداد تصادفا...

Coarse-grained traffic matrix estimation for data center networks

We address the problem of estimating the real-time traffic flows in data center networks (DCNs), using the light-weight SNMP data. Unlike the problem of estimating the traffic matrix (TM) across origin-destination (OD) pairs in ISP networks, the traffic flows across servers or Top of Rack (ToR) switch pairs in DCNs are notoriously more irregular and volatile. Although numerous methods have been...

Real-time travel time estimation using macroscopic traffic flow models

This paper presents the estimation of travel time on highways based on macroscopic modelling. The focus is on real-time values as compaved to average or static values. The macroscopic models are used for distributed and timehpace lumped settings and corresponding travel time estimation functions and algorithms are developed. The implications of these algorithms for the implementation of various...