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The paper proposes a traffic responsive control framework based on a Model Predictive Control (MPC) approach. The framework focuses on a centralized method, which can simultaneously compute the network decision variables (i.e., the green timings at each junction and the offset of the traffic light plans of the network). Furthermore, the framework is based on a hybrid traffic flow model operating as a prediction model and plant model in the control procedure. The hybrid traffic flow model combines two sub-models: an aggregate model (i.e., the Cell Transmission Model; CTM) and a disaggregate model (i.e., the Cellular Automata model; CA), using a transition cell to connect them. The whole framework is tested on a signalized arterial, performing several analyses to calibrate the MPC strategy and evaluate the traffic control approach using fixed and adaptive control strategies. All analyses are made in terms of total time spent, network total delay, queue lengths and degree of saturation. [ABSTRACT FROM AUTHOR]

Using a database of sociodemographic and economic variables for 16 Italian regions over a long period of time (from the late 19th century to the end of the 20th century), we analyze the historical evolution of female nuptiality. An econometric analysis (Panel Corrected Standard Errors) for the period 1900–1991 helps us to confirm the relationship established in some theories on marriage rates such as 'the new home economics' (life expectancy at birth, literacy rate, urban population, population working in the primary sector, and Gross Domestic Product per capita). Other variables proved not to be statistically significant (sex ratio in the group aged 15–49 years and male and female participation in the workforce). [ABSTRACT FROM AUTHOR]

Several systems have been proposed in recent years for Advanced Traveler Information Systems (ATIS), ranging from personal (mobile application, on-board) navigation to VMS (Variable Message Signs). All these applications are essentially aimed at assisting the travelers in their travel choices by means of technologically dispatched information about traffic network structure and traffic conditions. It is well known that in ATIS applications one of the key issues to be addressed concerns the accuracy of the dispatched information, here intended as the ability of the system in supplying information that can be verified by the travelers to be correct (affected by a small error). This paper aims at proposing some analytical models able to simulate the effects of the (in)accuracy on travelers' compliance with information. [ABSTRACT FROM AUTHOR]

This paper proposes a hybrid traffic flow model able to support the implementation of traffic management strategies in the presence of human-driven and connected vehicles. The model is based on the combination of two models: an aggregate model (the cell transmission model) and a disaggregate model (the cellular automata model). The model was tested considering three main layouts, namely a ring-shaped arc, a signalised link, and a grid network with four origins and four destinations, and then calibrated on real data. The model was also applied in the presence of connected vehicles. Our results point out the model's local consistency in terms of wave propagation and its suitability with respect to the benchmark models as well as in the presence of connected vehicles. [ABSTRACT FROM AUTHOR]

The possibility of upgrading conventional vehicles to hybrid electric vehicles has recently gained considerable interest. Among the diverse options for hybridization, researchers of the Energy and Propulsion Laboratory at the University of Salerno (Italy) have patented a system based on the electrification of the rear wheels in front-wheel-drive vehicles by adopting in-wheel motors and adding a lithium-ion battery, which is rechargeable via plug-in and solar mode. The technology integrates various components, in-vehicle Intelligent Transportation Systems and advanced on-line management algorithms. With respect to the proposed technological context, this paper uses a real case study to investigate the potential market penetration, the achievable environmental benefits and relevant policy issues. To this aim, the paper first analyses the main behavioral determinants that may affect users' perception of this new technology, then specifies and calibrates an installation choice model, and finally develops bottom-up methodology to estimate the environmental benefits to be obtained from different commercialization scenarios. The proposed methodology was applied to the city of Salerno and the achievable benefits were compared to those obtainable through the implementation of traditional transport policies. [ABSTRACT FROM PUBLISHER]