Agent-Based Traffic Control Using Auctions

2007 ◽  
pp. 119-133 ◽  
Author(s):  
Heiko Schepperle ◽  
Klemens Böhm
Keyword(s):  
Traffic Control ◽  
Agent Based

scholarly journals SUMO Based Platform for Cooperative Intelligent Automotive Agents

10.29007/sc13 ◽  
2019 ◽  
Author(s):  
Levente Alekszejenkó ◽  
Tadeusz P. Dobrowiecki
Keyword(s):  
Traffic Control ◽  
Urban Traffic ◽  
Future Research ◽  
Complex Solution ◽  
Agent Based ◽  
Traffic Lights ◽  
Lane Changes ◽  
Control Scheme ◽  
Variable Topology ◽  
Intelligent Communication

Starting from the problems of nowadays’ urban traffic (congestions, imperfect timing of traffic lights, high impact of lane changes) we investigate the feasibility of a cooperative intelligent agent based solution as an overall control scheme governing the car flow in congested urban intersections.The proposed complex solution features both the intelligent traffic control and the car platooning. In order to test and verify the merits of the proposed solution in urban intersection of a widely variable topology, but also to support our future research aims, a simulation platform, extending the basic functionalities of SUMO with the options of intelligent communication and cooperative co-acting, was designed and developed.

AN AGENT BASED APPROACH TO THE REAL TIME AIR TRAFFIC CONTROL

2005 ◽  
Vol 38 (1) ◽  
pp. 126-131 ◽  
Author(s):  
Ludovica Adacher ◽  
Carlo Meloni
Keyword(s):  
Real Time ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Air Traffic ◽  
Agent Based ◽  
The Real

scholarly journals Multi-Agent Based Traffic Signal Optimization under Fully Actuated Control

2019 ◽  
Vol 8 (11) ◽  
pp. 2255-2262
Keyword(s):  
Traffic Control ◽  
Control Method ◽  
Control Model ◽  
Traffic Signal ◽  
Signal Control ◽  
Light Phase ◽  
Agent Based ◽  
Effective Manner ◽  
Multi Agent ◽  
On The Road

This paper presents a multi-agent based distributed traffic control model to optimize the traffic signal for multiple intersections. Previous works in the area of traffic signal control suffer from a number of inadequacies, including the use of fixed cycle length, centralized mode of operations and dependency on historical data. Considering these, the aim of this work is to control the traffic signal timings by adjusting the phase sequence in order to minimize the delay in traffic at the intersections. To model the traffic network, a three-tier multi-agent system has been adopted in distributed mode. In addition, a fully actuated signal control algorithm is designed and it utilizes state-space equations to formulate the queue length at the green light phase and red light phase. The proposed model is simulated with SUMO simulator and a comparative analysis has been made between adaptive control method, multi-agent method based on collective learning and multi-agent based fully actuated control method on a similar platform. The results spectacle the proposed traffic control model outperforms that of other existing control methods in all condition; hence it can be deployed to control the tremendous traffic on the road network and to optimize the traffic signal in more effective manner.

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