AbstractThis study deals with an investigation of the influence of several assignment criteria, combined with a different set of information about traffic conditions, on the efficacy and stability of the solution of the off-line dynamic demand estimation problem.Motivations of such investigation derive from the need to better reproduce the real users’ behaviors during the demand estimation and benefit from the extensive information, which is provided by traffic monitoring systems that collect advanced traffic data ubiquitously distributed on the network. Several synthetic experiments have been conducted on a test network, obtaining interesting results about the common adoption of dynamic user equilibrium and about the possibility to introdu...
In order to respond to the variable state of traffic network in time, a distributed dynamic traffic ...
Real-time information about traffic conditions is becoming widely available through various media an...
A new day-to-day traffic assignment model is proposed to describe travelers’ day-to-day behavioral c...
AbstractThis study deals with an investigation of the influence of several assignment criteria, comb...
This paper examines the impact of applying dynamic traffic assignment (DTA) and quasi-dynamic traffi...
This paper examines the impact of applying dynamic traffic assignment (DTA) and quasi-dynamic traffi...
Availability of accurate trip demand estimates plays a key role for both long term and short term tr...
In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate abo...
Day-to-day demand volatility is an inherent property of transport systems, which can substantially i...
Dynamic Traffic Assignment (DTA) has become a main component of modern traffic control centres. To ...
This paper addresses the problem of estimating the operational performance of extended urban transpo...
Nowadays, traffic engineers employ a variety of intelligent tools for decision support in the field ...
Time-dependent Origin-Destination (OD) demand information is a fundamental input for Dynamic Traffic...
: This paper presents a pre-trip demand simulator with predictive capabilities and an explicit simul...
Traffic congestion is an issue in most cities worldwide. Transportation engineers and urban planners...
In order to respond to the variable state of traffic network in time, a distributed dynamic traffic ...
Real-time information about traffic conditions is becoming widely available through various media an...
A new day-to-day traffic assignment model is proposed to describe travelers’ day-to-day behavioral c...
AbstractThis study deals with an investigation of the influence of several assignment criteria, comb...
This paper examines the impact of applying dynamic traffic assignment (DTA) and quasi-dynamic traffi...
This paper examines the impact of applying dynamic traffic assignment (DTA) and quasi-dynamic traffi...
Availability of accurate trip demand estimates plays a key role for both long term and short term tr...
In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate abo...
Day-to-day demand volatility is an inherent property of transport systems, which can substantially i...
Dynamic Traffic Assignment (DTA) has become a main component of modern traffic control centres. To ...
This paper addresses the problem of estimating the operational performance of extended urban transpo...
Nowadays, traffic engineers employ a variety of intelligent tools for decision support in the field ...
Time-dependent Origin-Destination (OD) demand information is a fundamental input for Dynamic Traffic...
: This paper presents a pre-trip demand simulator with predictive capabilities and an explicit simul...
Traffic congestion is an issue in most cities worldwide. Transportation engineers and urban planners...
In order to respond to the variable state of traffic network in time, a distributed dynamic traffic ...
Real-time information about traffic conditions is becoming widely available through various media an...
A new day-to-day traffic assignment model is proposed to describe travelers’ day-to-day behavioral c...