Open-sourced data ecosystem in autonomous driving: the present and future
With the continuous maturation and application of autonomous driving technology, a
systematic examination of open-source autonomous driving datasets becomes instrumental …
systematic examination of open-source autonomous driving datasets becomes instrumental …
Data-driven traffic assignment through density-based road-specific congestion function estimation
The ability to build accurate traffic assignment models on large-scale major road networks is
essential for effective infrastructure planning. Static traffic assignment models often utilize …
essential for effective infrastructure planning. Static traffic assignment models often utilize …
Flow count data-driven static traffic assignment models through network modularity partitioning
Accurate static traffic assignment models are important tools for the assessment of strategic
transportation policies. In this article we present a novel approach to partition road networks …
transportation policies. In this article we present a novel approach to partition road networks …
Extension of a static into a semi-dynamic traffic assignment model with strict capacity constraints
L Brederode, L Gerards, L Wismans, A Pel… - … A: Transport Science, 2023 - Taylor & Francis
To improve the accuracy of large-scale strategic transport models in congested conditions,
this paper presents a straightforward extension of a static capacity-constrained traffic …
this paper presents a straightforward extension of a static capacity-constrained traffic …
A fresh look at symmetric traffic assignment and algorithm convergence
PN Patil - arXiv preprint arXiv:2302.11660, 2023 - arxiv.org
Extensions of the static traffic assignment problem with link interactions were studied
extensively in the past. Much of the network modeling community has since shifted to …
extensively in the past. Much of the network modeling community has since shifted to …
[HTML][HTML] Travel demand matrix estimation for strategic road traffic assignment models with strict capacity constraints and residual queues
L Brederode, A Pel, L Wismans, B Rijksen… - … research part B …, 2023 - Elsevier
This paper presents an efficient solution method for the matrix estimation problem using a
static capacity constrained traffic assignment (SCCTA) model with residual queues. The …
static capacity constrained traffic assignment (SCCTA) model with residual queues. The …
[PDF][PDF] Incorporating Congestion Phenomena into Large Scale Strategic Transport Model Systems
L Brederode - 2023 - pure.tudelft.nl
Strategic traffic assignment (TA) models assess long-term effects of policies on route choices
of travelers. To meet stability requirements, current strategic TA models lack modelling of …
of travelers. To meet stability requirements, current strategic TA models lack modelling of …