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Adaptive Traffic Control Systems (ATCS) aim at the improvement of traffic flow in terms of delay, number of stops, travel time etc. in urban networks under the regime of traffic signal control. Well known ATCS are SCOOT, SCATS, BALANCE and MOTION to name only a few. Lately the Cell Transmission Model (CTM) attracted some attention in the context of traffic signal control. It can be used to model the...
It is my pleasure to welcome you to the 13th International IEEE Conference on Intelligent Transportation Systems, hosted in Funchal - Madeira Island, Portugal. This flagship conference of the IEEE Intelligent Transportation Systems Society is a leading forum where the state-of-the-art, the latest developments as well as future perspectives relating to intelligent transportation systems are presented...
This paper puts forward an alternative method which deals with the simulation and estimation of urban traffic network. The method is based on Cell Transmission Model (CTM), a macroscopic model for freeway traffic modeling. Some modifications on basic CTM are made to meet the requirement of urban traffic modeling. In order to test the performance of this model, a small virtual traffic network is set...
This paper deals with problem of the real-time freeway traffic density estimation/prediction for a jump Markov linear model based on Daganzo's cell transmission variant of the Lighthill-Whitham-Richards continuous macroscopic freeway model. To solve the problem we propose a particle-filtering-based estimation/prediction method. Its performance is illustrated on case studies involving a four-cell freeway...
Traffic control has proven an effective measure to reduce traffic congestion on freeways. In order to determine appropriate control actions, it is necessary to have information on the current state of the traffic. However, not all traffic states can be measured (such as the traffic density) and so state estimation must be applied in order to obtain state information from the available measurements...
The current state-of-practice emission modeling tools, namely: MOBILE, EMFAC, the Comprehensive Modal Emission Model (CMEM), and VT-Micro model do not provide reliable emission estimates for high speeds greater than 80 mph since the models do not have supporting data at these high speeds. Consequently, the research presented in this paper gathers field data and develops models for the estimation of...
Microscopic traffic simulation models coupled with instantaneous emission models have the potential to provide improved assessments of the environmental impact of traffic networks, management strategies and technology implementations. This paper describes a toolbox, which links the microscopic traffic flow simulator VISSIM with the instantaneous emission model PHEM (Passenger car and Heavy-duty Emission...
The research presented here combines a carbon balance with fuel consumption estimates to convert emissions measured by remote sensing devices (RSD) from concentration to mass. In estimating vehicle fuel consumption rates, the VT-Micro model and a Vehicle Specific Power (VSP)-based model (the PERE model) are considered and compared. The results of the comparison demonstrate that both of the VT-Micro...
This paper describes a new approaching to modeling traffic flow model of traffic simulators for evaluating CO2 emissions. So far, we have developed the traffic simulator NETSTREAM (NETwork Simulator for TRafflc Efficiency And Mobility). It has been able to reproduce traffic congestions in large-scale networks because of its unique traffic flow model. This paper proposes an enhancement of the traffic...
The World Health Organization (WHO) estimates that, worldwide, three million people die annually due to the effects of air pollution. This represents a tripling of deaths per year result from automobile accidents. With the increasing technological advancement becomes very important to monitor levels of air pollutants. Thus, in the Japanese city of Kyoto, was established called the Kyoto Protocol effectively...
We extend a `surrogate problem' approach that is developed for a class of stochastic discrete optimization problems so as to tackle the global signal settings and traffic assignment combined problem. We compare a stochastic method based on the surrogate approach, called Surrogate Method (SM), with a Projected Gradient Algorithm (PGA), which uses the Armijo rule for the step size estimation routine...
Geoinformation inventories are often employed as a tool for providing a comprehensive view onto the required state of traffic control infrastructure. They are especially important in road safety inspection where, in combination with georeferenced video, they enable repeatable off-line and off-site assessments as an attractive alternative to classic onsite inspection. Nevertheless, manual assessments...
Focusing on efficiently handling traffic signalling for emergency vehicles via minimally-invasive schemes, in this manuscript we propose a novel traffic light preemption algorithm based on processing part of the Cooperative Awareness Messages (CAM) already defined in the so-called European Intelligent Transportation System (ITS) communication architecture. In order to minimize the probability of error...
Increasing transportation network capacity is very important, particularly in congested traffic condition. In certain conditions, providing left turn green time could reduce intersection capacity because of: a) larger lost time due to added phase, and b) shorter green time for the through traffic movements. In this study, we will compare the effects of three ITS-based left turn policies on the performance...
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