Population-based optimization in structural engineering: a review

AR Kashani, CV Camp, M Rostamian, K Azizi… - Artificial Intelligence …, 2022 - Springer
Structural engineering is focused on the safe and efficient design of infrastructure. Projects
can range in size and complexity, many requiring massive amounts of materials and …

State-of-the-art review on traffic control strategies for emergency vehicles

W Yu, W Bai, W Luan, L Qi - IEEE Access, 2022 - ieeexplore.ieee.org
Emergency vehicles (EVs) play an essential role in emergency services. One of the most
intuitive indicators of the emergency service process is the response time of EVs. This …

Intelligent traffic management system based on the internet of vehicles (IoV)

SA Elsagheer Mohamed… - Journal of advanced …, 2021 - Wiley Online Library
The present era is marked by rapid improvement and advances in technology. One of the
most essential areas that demand improvement is the traffic signal, as it constitutes the core …

A survey on the artificial bee colony algorithm variants for binary, integer and mixed integer programming problems

B Akay, D Karaboga, B Gorkemli, E Kaya - Applied Soft Computing, 2021 - Elsevier
Most of the optimization problems encountered in the real world are discrete type which
involves decision variables defined in the discrete search space. Binary optimization …

Bioinspired computational intelligence and transportation systems: a long road ahead

J Del Ser, E Osaba… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper capitalizes on the increasingly high relevance gained by data-intensive
technologies in the development of intelligent transportation system, which calls for the …

An effective hybrid-heuristic algorithm for urban traffic light scheduling

CW Tsai, TC Teng, JT Liao, MC Chiang - Neural Computing and …, 2021 - Springer
The traffic light cycle optimization problem (TLCOP) is certainly one of the most critical
problems in a modern traffic management system because a “good solution” will be able to …

Computer vision-guided intelligent traffic signaling for isolated intersections

SK Kumaran, S Mohapatra, DP Dogra, PP Roy… - Expert Systems with …, 2019 - Elsevier
Computer vision-guided traffic management is an emerging area of research. Intelligent
traffic signal control using computer vision is a less explored area of research. In this paper …

Making cities smarter—optimization problems for the iot enabled smart city development: A mapping of applications, objectives, constraints

AS Syed, D Sierra-Sosa, A Kumar, A Elmaghraby - Sensors, 2022 - mdpi.com
One of the prime aims of smart cities has been to optimally manage the available resources
and systems that are used in the city. With an increase in urban population that is set to grow …

Biased pressure: cyclic reinforcement learning model for intelligent traffic signal control

B Ibrokhimov, YJ Kim, S Kang - Sensors, 2022 - mdpi.com
Existing inefficient traffic signal plans are causing traffic congestions in many urban areas. In
recent years, many deep reinforcement learning (RL) methods have been proposed to …

Differential evolution-driven traffic light scheduling for vehicle-pedestrian mixed-flow networks

S Gupta, W Shu, Y Zhang, R Su - Knowledge-Based Systems, 2023 - Elsevier
This study addresses the bi-objective traffic light scheduling problem (TLSP), which aims to
minimize the network-wise delay time of all vehicles and pedestrians within a predefined …