Abstract The problem of distributing and routing vehicles in a large automated transportation network may be approached through the design of on-line control algorithms, particularly when the network contains many origin-destination pairs and alternate routes. To develop such algorithms, it is necessary to obtain models that accurately represent the dynamic behavior of vehicles on the guideway network. In this paper, models based on density, flow and average velocity variables are derived for the vehicle-follower longitudinal control scheme. Models suitable for use in analysis and simulation work are developed for links, merges, diverges, and stations. The proposed models are shown to compare favorably with simulation results that use explicit modeling of vehicle dynamic modeling of vehicle dynamic interaction.
Macroscopic traffic models for vehicle-follower automated transportation systems
Transportation Research Part B: Methodological ; 16 , 2 ; 125-142
1980-11-14
18 pages
Article (Journal)
Electronic Resource
English
Macroscopic models for traffic and traffic safety
Elsevier | 1988
|Second-Order Macroscopic Traffic Models
Springer Verlag | 2018
|First-Order Macroscopic Traffic Models
Springer Verlag | 2018
|