Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms
R Aleksander, C Paweł - IET Intelligent Transport Systems, 2020 - Wiley Online Library
Over the past few decades, the increasing number of vehicles and imperfect road traffic
management have been sources of congestion in cities and reasons for deteriorating health …
management have been sources of congestion in cities and reasons for deteriorating health …
Traffic Signal Optimization to Improve Sustainability: A Literature Review
Optimizing traffic signals to improve traffic progression relies on minimizing mobility
performance measures (eg, delays and stops). However, delay and stop minimizations do …
performance measures (eg, delays and stops). However, delay and stop minimizations do …
Walsh functions as surrogate model for pseudo-boolean optimization problems
Surrogate-modeling is about formulating quick-to-evaluate mathematical models, to
approximate black-box and time-consuming computations or simulation tasks. Although …
approximate black-box and time-consuming computations or simulation tasks. Although …
Fitness landscapes analysis and adaptive algorithms design for traffic lights optimization on SIALAC benchmark
Finding optimal traffic light timings at road intersections is a mandatory step for urban
planners wishing to achieve a sustainable mobility in modern cities. Increasing congestion …
planners wishing to achieve a sustainable mobility in modern cities. Increasing congestion …
Combinatorial surrogate-assisted optimization for bus stops spacing problem
The distribution of transit stations constitutes an ubiquitous task in large urban areas. In
particular, bus stops spacing is a crucial factor that directly affects transit ridership travel …
particular, bus stops spacing is a crucial factor that directly affects transit ridership travel …
[HTML][HTML] Evolutionary design optimization of traffic signals applied to Quito city
This work applies evolutionary computation and machine learning methods to study the
transportation system of Quito from a design optimization perspective. It couples an …
transportation system of Quito from a design optimization perspective. It couples an …
Fine tuning of traffic in our cities with smart panels: The quito city case study
In this article we work towards the desired future smart city in which IT and knowledge will
hopefully provide a highly livable environment for citizens. To this end, we test a new …
hopefully provide a highly livable environment for citizens. To this end, we test a new …
Sparse Surrogate Model for Optimization: Example of the Bus Stops Spacing Problem
Combinatorial optimization problems can involve computationaly expensive fitness function,
making their resolution challenging. Surrogate models are one of the effective techniques …
making their resolution challenging. Surrogate models are one of the effective techniques …
A rolling optimization algorithm for real-time traffic control with delay minimization
This article presents a rolling optimization algorithm (ROA) for minimizing total vehicle delay
for real-time traffic signal control in urban road networks, where the vehicle delay …
for real-time traffic signal control in urban road networks, where the vehicle delay …
SIALAC benchmark: on the design of adaptive algorithms for traffic lights problems
Optimizing traffic lights in road intersections is a mandatory step to achieve sustainable
mobility and efficient public transportation in modern cities. Several mono or multi-objective …
mobility and efficient public transportation in modern cities. Several mono or multi-objective …