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 …
Post-disaster recovery sequencing strategy for road networks
Natural disasters cause significant disruption in road networks, rendering many crucial links
unusable. We investigate how to identify a sequence for repairing these links that minimizes …
unusable. We investigate how to identify a sequence for repairing these links that minimizes …
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 …
Computational graph-based mathematical programming reformulation for integrated demand and supply models
As transportation systems grow in complexity, analysts need sophisticated tools to
understand travelers' decision-making and effectively quantify the benefits of the proposed …
understand travelers' decision-making and effectively quantify the benefits of the proposed …
Understanding user equilibrium states of road networks: Evidence from two Chinese mega-cities using taxi trajectory mining
BY Chen, XY Chen, HP Chen, YB Huang, T Jia… - … research part A: policy …, 2024 - Elsevier
User equilibrium (UE) has long been regarded as the cornerstone of transport planning
studies. Despite its fundamental importance, our understanding of the actual UE state of …
studies. Despite its fundamental importance, our understanding of the actual UE state of …
Modifying link capacity to avoid Braess Paradox considering elastic demand
A Wang, Y Tang, YT Mohmand, P Xu - Physica A: Statistical Mechanics and …, 2022 - Elsevier
A common practice to improve travel efficiency is to expand the existing road infrastructure;
however, as pointed out by Braess Paradox, this expansion may worsen congestion. Braess …
however, as pointed out by Braess Paradox, this expansion may worsen congestion. Braess …
Traffic assignment models: applicability and efficacy
PN Patil - 2022 - repositories.lib.utexas.edu
This dissertation is concerned with the traffic assignment problem (TAP), an important tool in
transportation planning. We first study a theoretical extension of TAP which incorporates …
transportation planning. We first study a theoretical extension of TAP which incorporates …
Computationally-efficient decomposition heuristic for the static traffic assignment problem
Applications such as megaregional planning require efficient methods for solving traffic
assignment problems (TAPs) on large-scale networks. We propose a decomposition …
assignment problems (TAPs) on large-scale networks. We propose a decomposition …
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 …
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 …