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A Link-Time-Based Semi-Discretized Method for Dynamic Traffic Assignment
Jiang Qian Ying
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Convergence behavior for traffic assignment characterization metrics
Transportmetrica A: Transport Science, 2020Traffic assignment is used for infrastructure planning, based on metrics like total system travel time (TSTT), vehicle-miles traveled (VMT) and link or path flows.
Priyadarshan N. Patil +2 more
semanticscholar +1 more source
Reduced gradient algorithm for user equilibrium traffic assignment problem
, 2020A path-based algorithm is developed for the static traffic assignment problem (TAP). In each iteration, it decomposes the problem into origin-destination (OD) pairs and solves each subproblem separately using the Wolfe reduced gradient (RG) method.
Abbas Babazadeh +3 more
semanticscholar +1 more source
IEEE Transactions on Industrial Informatics, 2021
To tackle the challenges introduced by the fast-growing charging demand of electric vehicles (EVs), the power distribution systems (PDSs) and fast charging stations (FCSs) of EVs should be planned and operated in a more coordinated fashion.
Wentao Yang +3 more
semanticscholar +1 more source
To tackle the challenges introduced by the fast-growing charging demand of electric vehicles (EVs), the power distribution systems (PDSs) and fast charging stations (FCSs) of EVs should be planned and operated in a more coordinated fashion.
Wentao Yang +3 more
semanticscholar +1 more source
Link-Based System Optimum Dynamic Traffic Assignment Problems in General Networks
Operational Research, 2019Most current system optimum dynamic traffic assignment (SO-DTA) models do not contain first-in-first-out (FIFO) constraints and are limited to single-destination network applications.
J. Long, W. Y. Szeto
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Real-time Traffic Assignment Using Engineered Customizable Contraction Hierarchies
ACM Journal of Experimental Algorithmics, 2019Given an urban road network and a set of origin-destination pairs, the traffic assignment problem asks for the traffic flow on each road segment. Common solution algorithms require a large number of shortest-path computations.
V. Buchhold, P. Sanders, D. Wagner
semanticscholar +1 more source
A network traffic assignment model for autonomous vehicles with parking choices
Comput. Aided Civ. Infrastructure Eng., 2019This article is the first in the literature to investigate the network traffic equilibrium for traveling and parking with autonomous vehicles (AVs) under a fully automated traffic environment.
Xiang Zhang, Wei Liu, S. T. Waller
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Synergistic Traffic Assignment
Adaptive Agents and Multi-Agent SystemsTraffic assignment analyzes traffic flows in road networks that emerge due to traveler interaction. Traditionally, travelers are assumed to use private cars, so road costs grow with the number of users due to congestion.
Thomas Bläsius +5 more
semanticscholar +1 more source
Transportation Research Record, 2018
Recent methods in the literature to parallelize the traffic assignment problem consider partitioning a network into subnetworks to reduce the computation time.
Cesar N. Yahia +2 more
semanticscholar +1 more source
Recent methods in the literature to parallelize the traffic assignment problem consider partitioning a network into subnetworks to reduce the computation time.
Cesar N. Yahia +2 more
semanticscholar +1 more source
Traffic-type Assignment for TSN-based Mixed-criticality Cyber-physical Systems
ACM Trans. Cyber Phys. Syst., 2020This article focuses on mixed-criticality applications with functions that have different timing requirements, i.e., hard real-time (HRT), soft real-time (SRT), and functions that are not time-critical (NC).
Voica Gavriluţ, P. Pop
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