Modeling Agent-Based Traffic Control System Using X-machine and Z Notation

2011 ◽  
Vol 2 (3) ◽  
pp. 9-21
Author(s):  
Nazir Ahmad Zafar Ghulam Ali
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Agent Based ◽  
Z Notation ◽  
Traffic Control System

Valuation-Aware Traffic Control

2009 ◽  
pp. 218-239 ◽  
Author(s):  
Heiko Schepperle ◽  
Klemens Böhm
Keyword(s):  
Control System ◽  
Waiting Time ◽  
Traffic Control ◽  
Control Mechanisms ◽  
Driver Assistance ◽  
Agent Based ◽  
Road Intersections ◽  
Traffic Control System ◽  
Near Future ◽  
Intersection Control

Current intersection-control systems lack one important feature: They are unaware of the different valuations of reduced waiting time of the drivers. Drivers with high valuations may be willing to pay to be prioritized at intersections. In this chapter, the authors describe an agent-based valuation-aware intelligent traffic-control system for road intersections which increases the overall driver satisfaction. It combines valuation-aware intersection-control mechanisms with sophisticated driver-assistance features, subsequently referred to as adaptive cruise and crossing control (A3C). Driver-assistance agents and intersection agents negotiate so-called time slots to cross the intersection. The driver-assistance agent adapts the speed of the vehicle in line with the time slot obtained. Various obstacles are in the way of realizing such a system and making it operational. The authors discuss these challenges and present ideas for solutions. They examine the intersection-control and the driver-assistance perspective of the intelligent traffic-control system. After a brief evaluation, they finally describe application scenarios where agent-based valuation-aware intersection control may become operational in the near future.

scholarly journals Design of an Agent-Based Traffic Control System

2019 ◽  
Vol 8 (6S3) ◽  
pp. 71-76
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Urban Areas ◽  
Process Model ◽  
Design Science ◽  
Research Process ◽  
Agent Based ◽  
Traffic Lights ◽  
Traffic Environment ◽  
Traffic Control System

Traffic control system is an imperative instrument in traffic management and smart urban development. However, most of the current traffic control systems cannot intercommunicate nor interact with each other. Most importantly, none of these systems are proactive and reactive to their immediate traffic environment. Thus, this study explores the design of an agent-based traffic control system where traffic lights can interact and inter-communicate to take prompt traffic control decisions within a traffic area. The study presents an agent-based traffic control system known as ATC. ATC system design was done using Design Science Research Process Model while the system was evaluated using qualitative research methodology. The study argues that there is need for traffic control system to be more reactive and proactive to their immediate traffic environment in order to limit traffic jam in urban areas.

Research on Wireless Traffic Control System of Traffic Police Resources and Key Technology

ICTIS 2011 ◽  
2011 ◽  
Author(s):  
Qin Yong ◽  
Yuqiang Lv ◽  
Dong Honghui ◽  
Tang Kun ◽  
Nie Miao ◽  
...  
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Key Technology ◽  
Traffic Police ◽  
Traffic Control System
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