In the urban traffic network, intersection is the "bottleneck point" of road network capacity. And the arterial is the main body in road network and the key factor which guarantees the normal operation of the city's social and economic activities. The rapid increase in vehicles leads to seriously traffic jam and causes the increment of vehicles' delay. Most cities of our country are traditional single control system, which can't meet the need for the city traffic any longer. In this paper, Synchro6.0 is used as a platform to minimize the intersection delay, optimize single signal cycle and split for Zhonghua Street in Handan City. Meanwhile, linear control system is used to optimize the phase for the arterial road in this system. Comparing before and after the control, both the capacities and service levels of this road and the adjacent roads are improved significantly.
The urban road network is the basis of urban transportation and its reliability plays an extremely important role in relieving congestion. The present study took unblocked reliability as the index for a road network reliability study. As the saturation cannot fully reflect the traffic situation, first, the formula for unblock reliability was improved and second, the minimal road set algorithm in graph theory was used to simplify the road network as a simple series–parallel network, and by combination with real-time data of the road network in Beijing, China, a calculation method of urban road network reliability was established. Finally, as an extension of the unblocked reliability evaluation, a sensitivity analysis was conducted for each road network and the critical sections in the road network were determined. The simulation results show that the improved unblocked reliability can sensitively reflect the traffic congestion situation and sensitivity analysis based on the unblocked reliability evaluation can effectively locate the sections in the road network that are critical for solving the congestion problem. The results of the study provide reasonable decision-making and theoretic support for traffic management departments.
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