Abstract
This work suggests a framework for modeling the traffic emissions in urban road traffic networks that are described by the Network Fundamental Diagram (NFD) concept. Traffic emission is formalized in finite spatiotemporal windows as a function of aggregated traffic variables, i.e. Total Travel Distances (TTDs) in the network and network average speed. The framework is extended for the size of an urban network during a signal cycle – the size of a window in which the network aggregated parameters are modeled in the NFD concept. Simulations have been carried out for model accuracy analysis, using the microscopic Versit+Micro model as reference. By applying the macroscopic emission model function and the traffic modeling relationships, the control objective for pollution reduction has also been formalized. Basically, multi-criteria control design has been introduced for two criteria: maximization of the TTD and minimization of traffic emissions within the network.
Highlights
In our days, the conscious transport planning and decision-making are more and more expected (Bokor 2011)
Other innovative techniques have been presented to affront traffic jams, i.e. temporary use of reversible lanes within the network (Cao et al 2014) or road infrastructure booking (Soltész et al 2011)
The Network Fundamental Diagram (NFD) of the Protected Network (PN) describes the relationship between the total travel distance (TTDPN, in unit [PCE·km]) and the total time spent (TTSPN, in unit [PCE·h]) within the PN
Summary
The conscious transport planning and decision-making are more and more expected (Bokor 2011). A multi-criteria approach is presented, i.e. design of a controller to optimize emissions of the PN besides traffic performance optimization. Efforts have been made for the modeling and control of urban traffic emissions. A novel approach is suggested and analyzed for the modeling of pollutant emissions in urban road networks. A control objective statement for pollution reduction is introduced In this concept, the emission needs to be modeled and controlled with an important condition: the emission modeling framework must use the measurements of the existing traffic system model (i.e. no further measurements can be required). The model is based on the macroscopic traffic emission framework, introduced in Csikós and Varga (2012) and Csikós et al (2013). The potential control objective for pollution reduction is formalized
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