Failure of classical traffic flow theories: Stochastic highway capacity and automatic driving
BS Kerner - Physica A: Statistical Mechanics and its Applications, 2016 - Elsevier
In a mini-review Kerner (2013) it has been shown that classical traffic flow theories and
models failed to explain empirical traffic breakdown—a phase transition from metastable …
models failed to explain empirical traffic breakdown—a phase transition from metastable …
Exploiting floating car data for time-dependent Origin–Destination matrices estimation
M Nigro, E Cipriani, A del Giudice - Journal of Intelligent …, 2018 - Taylor & Francis
The study evaluates the added value generated by estimating dynamic demand matrices by
information gathered from Floating Car Data (FCD). Firstly, adopting a large dataset of FCD …
information gathered from Floating Car Data (FCD). Firstly, adopting a large dataset of FCD …
Optimization of real-time traffic network assignment based on IoT data using DBN and clustering model in smart city
With the rapid development of the information age, smart city has gradually become the
mainstream of urban construction. Dynamic transportation assignment has attracted more …
mainstream of urban construction. Dynamic transportation assignment has attracted more …
Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation
C Antoniou, J Barceló, M Breen, M Bullejos… - … Research Part C …, 2016 - Elsevier
Abstract Estimation/updating of Origin–Destination (OD) flows and other traffic state
parameters is a classical, widely adopted procedure in transport engineering, both in off-line …
parameters is a classical, widely adopted procedure in transport engineering, both in off-line …
Hierarchical travel demand estimation using multiple data sources: A forward and backward propagation algorithmic framework on a layered computational graph
Aiming to develop a theoretically consistent framework to estimate travel demand using
multiple data sources, this paper first proposes a multi-layered Hierarchical Flow Network …
multiple data sources, this paper first proposes a multi-layered Hierarchical Flow Network …
Applying Bayesian optimization for calibration of transportation simulation models
The parameters of a transportation simulation model need to pass through a careful
calibration process to ensure that the model's output is as close as possible to the actual …
calibration process to ensure that the model's output is as close as possible to the actual …
Calibration and validation of a simulation-based dynamic traffic assignment model for a large-scale congested network
Deployment of a simulation-based dynamic traffic assignment (DTA) model requires
calibration of a large number of demand and supply input parameters. In this paper, we …
calibration of a large number of demand and supply input parameters. In this paper, we …
Dynamic origin-destination matrix calibration for large-scale network simulators
C Osorio - Transportation Research Part C: Emerging …, 2019 - Elsevier
This paper considers offline dynamic OD (origin-destination) calibration problems for large-
scale simulation-based network models. We formulate the problem as a simulation-based …
scale simulation-based network models. We formulate the problem as a simulation-based …
Simulation-based optimization of toll pricing in large-scale urban networks using the network fundamental diagram: A cross-comparison of methods
Simulation-based optimization (SO or SBO) has become increasingly important to address
challenging transportation network design problems. In this paper, we propose to solve two …
challenging transportation network design problems. In this paper, we propose to solve two …
Dynamic demand estimation and prediction for traffic urban networks adopting new data sources
Nowadays, new mobility information can be derived from advanced traffic surveillance
systems that collect updated traffic measurements, both in fixed locations and over specific …
systems that collect updated traffic measurements, both in fixed locations and over specific …