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...
Trip patterns in terms of origin-to-destination (OD) traffic flows are a key input to traffic assign...
AbstractFor a static/dynamic O-D matrix estimation, usually, the basic required information is a sta...
This dissertation aims to improve the performance of existing assignment-based dynamic origin-destin...
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...
Time-dependent Origin-Destination (OD) demand information is a fundamental input for Dynamic Traffic...
This paper examines the impact of applying dynamic traffic assignment (DTA) and quasi-dynamic traffi...
In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate abo...
Dynamic traffic models require dynamic inputs, and one of the main inputs are the Dynamic Origin-Des...
The increasing availability of historical floating car data (FCD) represents a relevant chance to im...
Dynamic Traffic Assignment (DTA) has become a main component of modern traffic control centres. To ...
This dissertation aims to improve the performance of existing assignment-based dynamic origin-destin...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
Day-to-day demand volatility is an inherent property of transport systems, which can substantially i...
In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate abo...
Trip patterns in terms of origin-to-destination (OD) traffic flows are a key input to traffic assign...
AbstractFor a static/dynamic O-D matrix estimation, usually, the basic required information is a sta...
This dissertation aims to improve the performance of existing assignment-based dynamic origin-destin...
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...
Time-dependent Origin-Destination (OD) demand information is a fundamental input for Dynamic Traffic...
This paper examines the impact of applying dynamic traffic assignment (DTA) and quasi-dynamic traffi...
In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate abo...
Dynamic traffic models require dynamic inputs, and one of the main inputs are the Dynamic Origin-Des...
The increasing availability of historical floating car data (FCD) represents a relevant chance to im...
Dynamic Traffic Assignment (DTA) has become a main component of modern traffic control centres. To ...
This dissertation aims to improve the performance of existing assignment-based dynamic origin-destin...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
Day-to-day demand volatility is an inherent property of transport systems, which can substantially i...
In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate abo...
Trip patterns in terms of origin-to-destination (OD) traffic flows are a key input to traffic assign...
AbstractFor a static/dynamic O-D matrix estimation, usually, the basic required information is a sta...
This dissertation aims to improve the performance of existing assignment-based dynamic origin-destin...