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- W2017758227 abstract "In this paper, we study the complexity of an autonomous vehicle sequencing problem under the framework of Autonomous Intersection Management (AIM). Since the objective is to schedule all approaching vehicles to pass this intersection in the shortest duration, we model the general version of this problem as a single machine scheduling problem in which jobs can be processed in parallel. Release date and chain constraint are also considered. We show that this problem is strongly NP-hard for number of families. is the perma nent growth of population in a relatively small area. The consequence of this fact is the increase in the number of vehicles and pedestrians. This gives more and more pressure and difficulty to the traffic control, whose aim is to ensure the safety and improve the efficiency of traffic movement at same time. The conventional traffic control method is by using traffic signals, and it generally falls into two basic categories: pre-timed control strategy, which is also called the fixed-time control, and the semi/fully traffic actuated control. Both strategies are usually based on the estimation of traffic flow rates. Since the flow rate is a continuous variable that needs a period of time to be estimated, there are always big deviations between the last computed flow rate and the actual one." @default.
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- W2017758227 date "2014-10-01" @default.
- W2017758227 modified "2023-09-23" @default.
- W2017758227 title "A scheduling model and complexity proof for autonomous vehicle sequencing problem at isolated intersections" @default.
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- W2017758227 doi "https://doi.org/10.1109/soli.2014.6960697" @default.
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