SIMULATION: Transactions of The Society for Modeling and Simulation International

Rieman, Frank C.

doi: 10.1177/003754977001400101pmid: N/A

Johnson, Everett L.

doi: 10.1177/003754977001400102pmid: N/A

Beged Dov, Aharon G.

doi: 10.1177/003754977001400103pmid: N/A

Fahidy, T.Z.

doi: 10.1177/003754977001400104pmid: N/A

Blum, A.M.

doi: 10.1177/003754977001400105pmid: N/A

The described vehicle traffic simulator is designed to fa cilitate analysis of traffic flow and to experiment with postulated traffic control systems. It offers users a large amount of flexibility in specifying network, intersection, vehicle, and control parameters. The logical flow of ve hicles, as well as much of the control system, is prepro grammed. Vehicles varying in size may change lanes, turn, change velocity (including reaction and acceleration delays), and merge. Input volumes may be varied, turns may be eliminated, and vehicles may be routed through the network. The user supplies the geometrical character istics and input information unique to his particular net work in data cards for the program.Some applications to real traffic networks (including a validation procedure) and a simple control experiment are discussed. The model, programmed in a special version of GPSS II and in FAP for the IBM 7090/94 systems, can be used in the simulation of single intersec tions, arterial routes, grid networks, and, for some special cases, limited access roadways.

Mellichamp, D.A.

doi: 10.1177/003754977001400106pmid: N/A

This paper presents a method of interactive or real-time predictive control which can be implemented without a stored program computer. By restricting the process dy namic model to a second-order-plus-dead-time format, a configuration which is satisfactory for many chemical or petroleum processing systems, a time-optimal controller can be built entirely on a small analog/hybrid computer. For set-point changes, the controller utilizes an analog model of the process to search out the predicted optimum input switching sequence and continuously maintains the process on the time-optimal trajectory. Because of the predictive nature of the method there is no necessity to include the time-delay term in the high-speed model; the predicted switches in the process input are simply ad vanced in time by the amount of the time-delay.

Greenberg, David B.; Toups, Harold J.

doi: 10.1177/003754977001400107pmid: N/A

doi: 10.1177/003754977001400108pmid: N/A

Gongaware, Robert W.

doi: 10.1177/003754977001400109pmid: N/A

doi: 10.1177/003754977001400110pmid: N/A