1,721,046 research outputs found

    A modified iterative scheme for the equilibrium traffic signal setting problem

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    This chapter on a modified iterative scheme for the equilibrium traffic signal setting (ETSS) problem is one in a book of essays published in honor of David Boyce for his contributions to the fields of transportation modeling and regional science. In this chapter, the author begins by providing essential background on ETSS, including formally defining the problem and presenting a selective overview of the relevant literature. The author then discusses the motivation and the key features of a proposed approach to ETSS, and outlines the details of the modeling framework and solution algorithm. The author also presents and discusses the results of numerical experiments in which the proposed approach is implemented on a small test network, but using realistic link delay functions as descriptors of intersection performance. The author concludes that results obtained from the numerical tests are encouraging and suggest that the proposed approach to ETSS may represent a worthwhile step toward an improved description of the real-world evolution of network conditions ensuing from the interaction of route choice and traffic-responsive signal control

    Modelling the impact of unusual demand levels on the day-to-day dynamics of route choice and signal control

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    A simple modelling framework for the simulation of day-to-day route choice and signal control dynamics triggered by a temporary, significant increase of travel demand is implemented in this study. The results of extensive numerical tests indicate that both network re-equilibration time and extent of system performance degradation depend mainly on the behavioural parameters of the dynamic process model

    Capacity implications of equilibrium traffic signal setting under stochastic route choice

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    A simple modelling framework for the assessment of the capacity implications of Equilibrium Traffic Signal Setting is presented and tested on a small network. The main conclusions of the study are that network capacity is mostly affected by the signal-setting policy, and that providing information to all drivers does not necessarily improve system performance

    Contrarians do better: Testing participants’ response to information in a simulated day-to-day route choice experiment

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    This paper reports the results of a laboratory-like experiment aimed at investigating some key aspects of day-to-day route choice behavior in a simple two-link network. Two different information scenarios (full vs. partial information about previous travel times) were implemented as sequential phases of the experiment. It was found that User Equilibrium conditions, though reached on several occasions, did not persist as a steady state. The temporal evolution of route changes showed no significant trend within each phase of the experiment, but a considerable "between-phase" decrease in route switching activity was detected. The analysis of participants' modes of response to information reveals a prevalence of direct ("naive") over contrary ("strategic") behavior, and shows that contrarian subjects are, on average, more successful in terms of individual travel time than those reacting in a direct manner. Memory depth (the number of past values of travel times typically considered by participants as the basis for their next route choice) was found to be significantly associated with individual performance and prevailing mode of response only under conditions of partial information. Finally, the implementation of a discrete-time, deterministic process model of day-to-day route choice dynamics on the experimental network enabled the derivation of empirically based estimates of the route choice reviewing rate, the weight of the most recent experience in the formation of travelers' forecasts of travel times, and the dispersion parameter of the underlying route choice model

    Orizzonti per la mobilità. Elementi di pianificazione dei sistemi di trasporto

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    Orizzonti per la mobilità presenta una trattazione della pianificazione dei trasporti articolata in due livelli diversi ma strettamente interconnessi. Nel primo la pianificazione viene considerata come processo finalizzato alla definizione delle politiche di intervento sui sistemi di trasporto in relazione alle caratteristiche dell’ambiente “esterno” e del contesto decisionale di riferimento, mentre nel secondo l’analisi si concentra su alcuni strumenti modellistici utilizzabili per fornire risposte ai quesiti del tipo “what if ?” che tipicamente emergono nell’ambito delle attività di supporto alle decisioni. Dato il carattere degli argomenti trattati, il volume può essere adottato come testo di riferimento per insegnamenti universitari afferenti a diversi ambiti disciplinari, e costituisce inoltre un utile strumento di consultazione per studiosi, tecnici e professionisti che desiderino avvicinarsi alle tematiche fondamentali della pianificazione dei sistemi di trasporto o consolidare le proprie conoscenze in materia

    Flussi, code e reti: Elementi di analisi dei sistemi di trasporto - Seconda edizione

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    "Flussi, code e reti" introduce il lettore all’ingegneria dei sistemi di trasporto, delineando i principi generali della disciplina e presentando una trattazione elementare di alcuni temi di fondamentale interesse nell’ambito dell’analisi dei sistemi di trasporto, con particolare riguardo agli aspetti funzionali e alla loro rappresentazione quantitativa. L’esposizione degli argomenti trattati è corredata di esempi di applicazione, che hanno lo scopo di aiutare il lettore a consolidare la comprensione dei contenuti teorici. Dato il carattere introduttivo dei contenuti, il volume può essere adottato come testo di riferimento per un corso universitario di base nel campo dell’ingegneria dei sistemi di trasporto, e costituisce inoltre un utile strumento di consultazione per studiosi, tecnici e professionisti che desiderino avvicinarsi alle tematiche fondamentali dell’analisi funzionale dei sistemi di trasporto o ampliare le proprie conoscenze in materia
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