Control for smart systems: Challenges and trends in smart cities
There have been tremendous developments in theories and technologies in control for
smart systems. In this paper we review applications to various systems that are crucial for the …
smart systems. In this paper we review applications to various systems that are crucial for the …
Deep reinforcement learning-based eco-driving control for connected electric vehicles at signalized intersections considering traffic uncertainties
Eco-driving control poses great energy-saving potential at multiple signalized intersection
scenarios. However, traffic uncertainties can often lead to errors in ecological velocity …
scenarios. However, traffic uncertainties can often lead to errors in ecological velocity …
[HTML][HTML] Quantifying variable contributions to bus operation delays considering causal relationships
Bus services often face operational delays due to dynamic conditions such as traffic
congestion, which can propagate through bus routes, affecting overall system performance …
congestion, which can propagate through bus routes, affecting overall system performance …
[HTML][HTML] Framework for connected and automated bus rapid transit with sectionalized speed guidance based on deep reinforcement learning: Field test in Sejong city
Abstract Nowadays, Automated Vehicle (AV) technology is gaining attention as a candidate
to improve the efficiency of Bus Rapid Transit (BRT) systems. However, there are still some …
to improve the efficiency of Bus Rapid Transit (BRT) systems. However, there are still some …
Optimization model for bus priority control considering carbon emissions under non-bus lane conditions
X Hu, X Chen, J Guo, G Dai, J Zhao, B Long… - Journal of Cleaner …, 2023 - Elsevier
Green extension and red truncation strategies were examined to study the influence of bus
priority control strategies on traffic carbon emissions under non-bus lane conditions …
priority control strategies on traffic carbon emissions under non-bus lane conditions …
A Person‐Based Adaptive Traffic Signal Control Method with Cooperative Transit Signal Priority
Real‐time traffic signal control has long been a critical way to improve traffic congestion.
Transit Signal Priority (TSP) is seen as a cost‐effective way to reduce travel time variability …
Transit Signal Priority (TSP) is seen as a cost‐effective way to reduce travel time variability …
Regional coordinated bus priority signal control considering pedestrian and vehicle delays at urban intersections
Bus priority signal control can reduce bus delay at intersections and improve bus operation
efficiency. The existing research focus mainly on bus priority control methods at isolated …
efficiency. The existing research focus mainly on bus priority control methods at isolated …
Enhancing bus holding control using cooperative ITS
We introduce a novel hybrid controller, which aims to maintain regularity on bus operations
while reducing the number of stops at signalized intersections. The controller combines a …
while reducing the number of stops at signalized intersections. The controller combines a …
Towards autonomous vehicles: a survey on cooperative vehicle-infrastructure system
SUMMARY Cooperative Vehicle-Infrastructure System (CVIS) is an important part of the
intelligent transport system (ITS). Autonomous vehicles have the potential to improve safety …
intelligent transport system (ITS). Autonomous vehicles have the potential to improve safety …
An adaptive timing mechanism for urban traffic pre-signal based on hybrid exploration strategy to improve double deep Q network
M Liu, H Zhang, Y Chen, H Xie, Y Pan - Complex & Intelligent Systems, 2023 - Springer
With the increasing traffic congestion in cities, the priority of public transit has become a
consensus for the development and management of urban transportation. The traffic pre …
consensus for the development and management of urban transportation. The traffic pre …