2008
DOI: 10.1007/s10458-008-9062-9
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Opportunities for multiagent systems and multiagent reinforcement learning in traffic control

Abstract: The increasing demand for mobility in our society poses various challenges to traffic engineering, computer science in general, and artificial intelligence and multiagent systems in particular. As it is often the case, it is not possible to provide additional capacity, so that a more efficient use of the available transportation infrastructure is necessary. This relates closely to multiagent systems as many problems in traffic management and control are inherently distributed. Also, many actors in a transporta… Show more

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Cited by 199 publications
(84 citation statements)
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“…In this example, in the initial traffic signal plan, the order of stages is P 2 during 20 seconds, P 1 and P 3 during 30 seconds each and finally P 4 during 20 seconds. At time t 1 , the IA receives a first request R 1 (P 2 , t 3 , t 4 , 2) which means that bus #1 is asking for stage P 2 . It needs a green light at this stage during the interval [t 3 ,t 4 ] and it has a priority index of "2".…”
Section: Traffic Light Plan Adaptationmentioning
confidence: 99%
See 1 more Smart Citation
“…In this example, in the initial traffic signal plan, the order of stages is P 2 during 20 seconds, P 1 and P 3 during 30 seconds each and finally P 4 during 20 seconds. At time t 1 , the IA receives a first request R 1 (P 2 , t 3 , t 4 , 2) which means that bus #1 is asking for stage P 2 . It needs a green light at this stage during the interval [t 3 ,t 4 ] and it has a priority index of "2".…”
Section: Traffic Light Plan Adaptationmentioning
confidence: 99%
“…This approach is also well adapted to study the effects of individual behavior of an agent on the collective behavior and vice versa. We note that multi-agent systems are increasingly present in the field of traffic regulation and several states of the art have been proposed [4] [15] [22], [27], [30]. Most of the proposals are based on the introduction of multi-agent concepts and processes to improve intersection management i.e.…”
Section: Introductionmentioning
confidence: 99%
“…First, route generation in route-choice models is a well-known problem in traditional discrete-choice approaches. Second, scenarios with coadaptation (vehicles/drivers replan according to change in traffic light plans, traffic lights react to this replanning, and so on) are just starting to be investigated (Bazzan, 2009). Therefore, the literature mainly discusses scenarios where route adaptation is only allowed before and after the actual driving.…”
Section: Autonomous Vehicles Their Implications and Related Workmentioning
confidence: 99%
“…In recent years, many agent-based techniques have been proposed to tackle traffic management problems (Bazzan 2008). Many approaches aim at optimizing the use of existing traffic infrastructures, by improving the control policies.…”
Section: Introductionmentioning
confidence: 99%