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 …
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 …
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 …
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 …
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 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 …
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 …
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 …
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 …