Ecology based network traffic control: A bee colony optimization approach
The majority of fuel consumed in traffic on urban arterials is related to driving in congested
traffic, characterized by frequent speed fluctuations and stops at signalized intersections. A …
traffic, characterized by frequent speed fluctuations and stops at signalized intersections. A …
Vehicular traffic simulation software: A systematic comparative analysis
MR Ullah, KS Khattak, ZH Khan… - Pakistan Journal of …, 2021 - journals.uol.edu.pk
With increasing urbanization, the importance of intelligent transportation system (ITS) has
become paramount for devising future smart cities. ITSs encompassing policy, planning …
become paramount for devising future smart cities. ITSs encompassing policy, planning …
An optimization model for arterial coordination control based on sampled vehicle trajectories: The STREAM model
Traditional arterial coordination control models adopt aggregated demand from fixed
detectors or manual counts as main input, which lack a self-feedback mechanism between …
detectors or manual counts as main input, which lack a self-feedback mechanism between …
Multi-objective traffic signal optimization using 3D mesoscopic simulation and evolutionary algorithms
Modern cities are currently facing rapid urban growth and struggle to maintain a sustainable
development. In this context,“eco-neighbourhoods” became the perfect place for testing new …
development. In this context,“eco-neighbourhoods” became the perfect place for testing new …
Assessment of arterial signal timings based on various operational policies and optimization tools
SA Shayeb, N Dobrota, A Stevanovic… - Transportation …, 2021 - journals.sagepub.com
Traffic simulation and optimization tools are classified, according to their practical
applicability, into two main categories: theoretical and practical. The performance of the …
applicability, into two main categories: theoretical and practical. The performance of the …
Adaptive traffic signal control with deep reinforcement learning an exploratory investigation
This paper presents the results of a new deep learning model for traffic signal control. In this
model, a novel state space approach is proposed to capture the main attributes of the control …
model, a novel state space approach is proposed to capture the main attributes of the control …
Simulation analysis of traffic signal control and transit signal priority strategies under Arterial Coordination Conditions
Z Mei, Z Tan, W Zhang, D Wang - Simulation, 2019 - journals.sagepub.com
This paper presents the findings of a simulation study evaluating the potential benefits of
implementing transit signal priority (TSP) combined with arterial signal coordination for an …
implementing transit signal priority (TSP) combined with arterial signal coordination for an …
An empirical framework for intersection optimization based on uniform design
Y Zhang, DJ Sun, A Kondyli - Journal of Advanced …, 2017 - Wiley Online Library
Operational performance optimization of signalized intersections is one of the most
important tasks for traffic engineers and researchers. To compensate for the limitations of …
important tasks for traffic engineers and researchers. To compensate for the limitations of …
Synchronous Intelligent Intersections for Sustainable Urban Mobility
R Reddy - 2023 - cister.isep.ipp.pt
According to the United Nations urbanization report 2018, 55% of the world's population
lives in urban areas and is expected to reach 68% by 2050. Current urban transportation …
lives in urban areas and is expected to reach 68% by 2050. Current urban transportation …
[PDF][PDF] Synchronous Intelligent Intersections for Sustainable Urban Mobility
RKR Pallavali - 2023 - repositorio-aberto.up.pt
Abstract According to the United Nations urbanization report 2018, 55% of the world
population lives in urban areas and is expected to reach 68% by 2050. Current urban …
population lives in urban areas and is expected to reach 68% by 2050. Current urban …