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Traffic calming is introduced to minimise the negative results of motor vehicle use, for example, low safety level or quality of life, high noise and pollution.
J. Paszkowski +3 more
semanticscholar +3 more sources
Data-Driven Traffic Assignment: A Novel Approach for Learning Traffic Flow Patterns Using Graph Convolutional Neural Network [PDF]
We present a novel data-driven approach of learning traffic flow patterns of a transportation network given that many instances of origin to destination (OD) travel demand and link flows of the network are available.
Rezaur Rahman, Samiul Hasan
semanticscholar +1 more source
Balancing fairness and efficiency in traffic routing via interpolated traffic assignment [PDF]
System optimum (SO) routing, wherein the total travel time of all users is minimized, is a holy grail for transportation authorities. However, SO routing may discriminate against users who incur much larger travel times than others to achieve high system
Devansh Jalota +3 more
semanticscholar +1 more source
Bridging the user equilibrium and the system optimum in static traffic assignment: a review
Solving the road congestion problem is one of the most pressing issues in modern cities since it causes time wasting, pollution, higher industrial costs and huge road maintenance costs.
V. Morandi
semanticscholar +1 more source
In this paper, we propose a regional dynamic traffic assignment framework for macroscopic fundamental diagram (MFD) models that explicitly accounts for trip length distributions.
S. Batista, L. Leclercq
semanticscholar +1 more source
Static Traffic Assignment with Queuing: model properties and applications
This paper describes the road traffic assignment model Static Traffic Assignment with Queuing (STAQ) that was developed for situations where both static (STA) and dynamic (DTA) traffic assignment models are insufficient: strategic applications on large ...
L.J.N. Brederode +4 more
semanticscholar +1 more source
A Dynamic Traffic Assignment Model for the Sustainability of Pavement Performance
Existing Dynamic Traffic Assignment (DTA) models assign traffic flow with the principle of travel time, which are easy to distribute most of the traffic flows on the shortest path.
Xinhua Mao +4 more
semanticscholar +1 more source
Dynamic Pricing Strategy of Charging Station Based on Traffic Assignment Simulation [PDF]
Jiyuan Tan +4 more
openalex +1 more source
This paper proposes an intersection-movement-based variational inequality formulation for the multi-class dynamic traffic assignment (DTA) problem involving physical queues using the concept of approach proportion.
Yu Jiang, W. Y. Szeto, J. Long, Ke Han
semanticscholar +1 more source

