Road turning is the common traffic bottleneck, where the traffic accidents often happen. By analyzing the dynamic behaviors of vehicles in the road turning, the conditions of vehicles turning safely can be gained. Besides, numerical simulation the effects of the road turning with ultrahigh to the traffic flow by using the cellular automation model. The result shows that ultra-high can provide greater centripetal force and raise the speed of vehicles when they are turning and reduce the possibility of vehicles slipping towards outside incline. However, too much great of ultra-high exists the dangers of vehicles slipping and overturning towards the inside of road turning. Therefore, the reasonability of ultrahigh setting relate directly to the safety of vehicles moving.
Based on NaSch model, energy consumption in the mixed traffic flow was investigated. The formula of energy consumption was presented. There are three factors of mixed traffic flow to be studied, which are the maximum velocity, length of vehicle, and the ratio of the mixed traffic flow (Cn), respectively. Simulation and analysis indicated that the energy consumption of the mixed traffic flow consisting of vehicles of the same length but different maximum velocity is associated with the lowest maximum velocity and its ratio. The slower the maximum velocity and its fraction, the more energy consumed. Moreover, for the mixed traffic flow consisting of vehicles with the same maximum velocity bot different length, the energy consumption is related to the ratio Cn of mixed vehicles. Longer vehicles lead to more energy consumption. For the mixed traffic flow involing vehicles of different maximum velocity and lengths, its energy consumption is determined by the ratio Cn of the mixed vehicles and delay probability p, the more the short and fast vehicles(Cn→0), the less energy consumed, and vice versa.
In this paper, we use the stochastic Nagel–Schreckenberg (NaSch) model to investigate the influence of a special right-turning lane connecting two main roads on the capacity of a signalized road intersection. It is found that the magnitude of right-turning traffic flow and the linking position of the special right-turning lane can greatly influence the capacity of the signalized road intersection. The relation between traffic flow and entering probability for different distances between the entrance (exit) of the special right-turning lane and the road intersection is simulated and analysed. The corresponding spatiotemporal pattern and phase diagram on different sections of the main road are given under the condition of close proximity to the signalized road intersection, stop-and-go traffic occur and obstruct the intersection. On the contrary, unchanged flux is maintained as the distance exceeds a critical values. All the studies indicate that setting a special right-turning lane by choosing a suitable location near a signalized road intersection can relieve the load of current traffic on the main road and maintain traffic flow.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.