Dynamic weight in intelligent transportation systems: A comparison based on two exit scenarios

Proposing a good exit scenario can make great contributions to improving road conditions. The influence of two exit scenarios, which depend on the dynamic behavior of the last vehicle (that closest to the exit), on the route flux, vehicle number, and speed by using two feedback strategies with different arrival rates ( V p ) was studied. We find that the weight of the route is dynamic instead of static, which depends on the real route conditions. In our case study, we find that the flux threshold value with respect to the necessity of applying information feedback strategy is 0.32 (which corresponds to V p ≈ 0.65 ). Further, we illustrate the velocity distribution plots of each route, which provide us with most of the important information we need, when adopting different feedback strategies and exit scenarios with two arrival rates ( V p ).