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| Content Provider | ACM Digital Library |
|---|---|
| Author | Sanfilippo, Marilyn S. Wong, Peter J. Nielsen, Norman R. Siddiqee, Waheed |
| Abstract | The design and evaluation of the Central Management System (CMS) for an Advanced Group Rapid Transit (AGRT) system is a very complex undertaking. The CMS is responsible for the routing and scheduling of hundreds of vehicles and for the making of thousands of passenger-vehicle assignments per hour in order to transport passengers between the various guideway stations in the network. This volume of decision making, coupled with the level of detail and complexity commonly found in CMS algorithms, forces the system designer/evaluator to employ computational tools to assist him in his work. This paper describes such an analysis tool. The results of applying this discrete-event simulator to an illustrative AGRT network have been previously described (5). The simulator actually encompasses two different systems. One system models the actual decision logic of the CMS algorithms. Thus, vehicle locations and waiting passengers are tracked at all times, and the appropriate vehicle routings and passenger-vehicle assignments are made. The other system must model the effects of the vehicle control system. Otherwise, vehicle locations would not be properly identified for the CMS decision algorithms. Normally, the accurate tracking of vehicle locations involves the maintenance and frequent recalculation of vehicle velocities and accelerations. This volume of calculation causes the simulation to execute slowly, to be expensive, and hence to be considered ineffective in studying CMS-level problems. Our approach permits vehicle positions to be updated accurately at only those points where the information is needed for decision making, significantly reducing computational requirements. The foundations of our approach are set forth in the paper, so that other investigators may apply this technique. The simulator is designed to accommodate a very broad range of network configurations, traffic loads, vehicle populations, and operating policies via parametric adjustments, so that this tool can be used by a broad community of investigators. |
| Starting Page | 377 |
| Ending Page | 389 |
| Page Count | 13 |
| File Format | |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1979-12-03 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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