[HTML][HTML] Modeling the effect of sensor failure on the location of counting sensors for origin-destination (OD) estimation
The network sensor location problem (NSLP) for origin–destination (OD) estimation
identifies the optimal locations for sensors to estimate the vehicular flow of OD pairs in a …
identifies the optimal locations for sensors to estimate the vehicular flow of OD pairs in a …
Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs
Transportation networks are unprecedentedly complex with heterogeneous vehicular flow.
Conventionally, vehicles are classified by size, the number of axles or engine types, eg …
Conventionally, vehicles are classified by size, the number of axles or engine types, eg …
[HTML][HTML] Dynamic demand estimation on large scale networks using Principal Component Analysis: The case of non-existent or irrelevant historical estimates
Calibrating DTA models is complex due to the involved indeterminacy, non-linearity, and
dimensionality, restricting the application of conventional calibration approaches, especially …
dimensionality, restricting the application of conventional calibration approaches, especially …
[HTML][HTML] Activity-based user equilibrium considering aggregated traffic dynamics emulated using the Macroscopic Fundamental Diagram
This paper introduces a simulation-based dynamic model for emulating the network
equilibrium conditions considering path-and departure-time choices and incorporating the …
equilibrium conditions considering path-and departure-time choices and incorporating the …
Dynamic origin–destination flow estimation for urban road network solely using probe vehicle trajectory data
Dynamic origin–destination (OD) flow is a fundamental input for dynamic network models
and simulators. Numerous studies have conducted dynamic OD estimations based on fixed …
and simulators. Numerous studies have conducted dynamic OD estimations based on fixed …
Incorporating trip chaining within online demand estimation
Abstract Time-dependent Origin-Destination (OD) demand flows are fundamental inputs for
Dynamic Traffic Assignment (DTA) systems and real-time traffic management. This work …
Dynamic Traffic Assignment (DTA) systems and real-time traffic management. This work …
A data driven approach to match demand and supply for public transport planning
NS Hadjidimitriou, M Lippi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The estimation of OD flows from mobile phone and GPS positioning data is an important
application that can naturally support urban and transport studies. In this work, we first …
application that can naturally support urban and transport studies. In this work, we first …
Methodology for O‐D matrix estimation using the revealed paths of floating car data on large‐scale networks
A Mitra, A Attanasi, L Meschini… - IET Intelligent Transport …, 2020 - Wiley Online Library
The increasing availability of historical floating car data (FCD) represents a relevant chance
to improve the accuracy of model‐based traffic forecasting systems. A more precise …
to improve the accuracy of model‐based traffic forecasting systems. A more precise …
[PDF][PDF] A big data demand estimation model for urban congested networks
G Cantelmo, F Viti - Transport and Telecommunication Journal, 2020 - sciendo.com
The origin-destination (OD) demand estimation problem is a classical problem in transport
planning and management. Traditionally, this problem has been solved using traffic counts …
planning and management. Traditionally, this problem has been solved using traffic counts …
Integration of departure time choice modeling and dynamic origin–destination demand estimation in a large-scale network
Time-dependent origin–destination (OD) demand estimation using link traffic data in a large-
scale network is a highly underdetermined problem. As a result, providing an accurate initial …
scale network is a highly underdetermined problem. As a result, providing an accurate initial …