The paper discusses simulation and optimization of in-queue flights, analyzed as discrete-event systems. Simulation is performed in a platform, based on MATLAB program functions and SIMULINK dynamic models. Regime optimization aims to maximize the controllability of the queue and minimize the fuel c
Discrete event modeling and simulation for flow control in an automated highway system
โ Scribed by Jong-Kwon Lee; Ju-Jang Lee
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 747 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0968-090X
No coin nor oath required. For personal study only.
โฆ Synopsis
AbstractรThis paper considers a lane routing problem in an Automated Highway System (AHS). Lane routing is important because the problem of managing the trac ยฏow on a multilane AHS plays a major role in an urban environment. On the other hand, because analytical approaches are impossible for various, almost unpredictable trac situations, trac simulations are indispensible for the design and the evaluation of various control strategies of the AHS. The discrete event modeling technique can be employed to describe both macroscopic and microscopic models according to the level of abstraction. The DEVS (Discrete Event System Speciยฎcation) formalism has been employed for trac modeling and simulation of the AHS. In this paper, we propose a lane routing algorithm for vehicles entering the highway to exit successfully at their destinations while balancing the lane capacity usage of the highway (even in the face of lane-blocking incident). After that, we present a methodology for the performance evaluation of the proposed algorithm using discrete event modeling and simulation. The simulation results show that the proposed algorithm gives good performance for trac ยฏow control in the AHS.
๐ SIMILAR VOLUMES
The automated highway systems (AHS) are not designed as stand-alone transportation facilities. Drivers will by necessity drive from their origins to the AHS entrance, and from the AHS exit to their ยฎnal destinations. Therefore, the AHS will aect other transportation facilities, and should be integra
This paper presents an automated system for parameter identification of inelastic constitutive models. The system can find good approximate parameters for various identification problems under a user-friendly environment. In order to identify parameters efficiently and in a robust manner, an optimis
Grinding remains as one of few choices being able to machine very hard materials to deliver ultra high precision at high material removal rate for efficiency. Effective models are needed for precision control of the machining process. So far, few studies on form error prediction have been reported.