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Incident Traffic Flow Models

Azita Dabiri (Institutionen för signaler och system, Reglerteknik)
Göteborg : Chalmers University of Technology, 2014. - 104 s.

In the trend toward civilization, transportation has always been considered as an indisputable aspect. However, soon it turned out to be a dilemma in many metropolitan areas how to assess the increased demand in transportation. The exigency for advanced alternative arises when constructing new roads and infrastructures lost its eligibility due to i.e. financial cost. It challenges scientists and traffic engineers then to elaborate more and more powerful intelligent transportation systems i.e. advanced road traffic management/supervision/control solutions. The model-based analysis and synthesis of traffic system require mathematical abstractions of the real traffic in order to properly predict its behavior. One of the most emerging direction is to create ITS solutions resilient to off-nominal traffic conditions, i.e. to traffic incidents. To embed resilience into road traffic control algorithms, proper modeling and reconstruction of traffic phenomenon are indispensable. Hence, the first part of this thesis focuses on proper description of incident modeling. Two different nominal traffic flow models namely Aw-Rascle and PW models are chosen. Within these modeling frameworks, incident parameters are properly introduced to describe the effect of traffic anomalies. To consolidate the idea, the microscopic interpretations of this parametrization has been presented. Simulation and real-measured traffic data based model validation is presented through joint state-parameter estimation scheme. The second part of the thesis is devoted to synthesis of an appropriate control strategy. We introduce scheduled robust optimization solution using ramp meter, which by encountering real-time incident parameter information, minimizes the effect of demand changes on predefined performance output.

Nyckelord: macroscopic freeway traffic modeling, traffic incident , incident parameterization, ramp metering, robust control

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Denna post skapades 2014-01-20. Senast ändrad 2015-01-26.
CPL Pubid: 192917


Institutioner (Chalmers)

Institutionen för signaler och system, Reglerteknik (2005-2017)


Transportteknik och logistik

Chalmers infrastruktur


Datum: 2014-02-13
Tid: 10:30
Lokal: room EC, Horsalsvagen 11
Opponent: Dr.ir. Andreas Hegyi

Ingår i serie

R - Department of Signals and Systems, Chalmers University of Technology