Abstract
By considering the feature of vehicle driving on the event management unit of the freeway corridor, according to the system target, a method to divide the management unit of the road network was put forward. The relative safety braking deceleration was taken as the evaluation index of single-vehicle driving risk. The reliability graph relationship and structure-function between the management unit and subunit were analyzed. Then, dynamic safety reliability and real-time safety reliability were determined on the basis of driving risk. In addition, the queuing and dissipating characteristics of the management unit under traffic incidents were analyzed based on the wave theory. The incident duration and dissipation time were also calculated. At the same time, the travel time prediction model of the incident management unit was set up when the real-time safety reliability was taken as a road resistance function. Finally, an improved travel time prediction model established in this paper is of great significance to improve traffic safety and efficiency, and the research results will provide an important theoretical foundation in the freeway corridor route decision.
Highlights
Travel time reliability is one of the most important factors in the residents’ travel choice. e time and location of the traffic incidents can be affirmed by the traffic administrators according to the change of the travel time, who make reasonable traffic policies; the researchers of the traffic can evaluate the level of the service according to the travel time; traffic travelers can choose the reasonable travel route according to the travel time
Real-Time Safety Reliability of Management Unit. e operating safety of the freeway network management unit is affected by the dynamic climate environment and traffic flow situation and by the static factors of road facilities and monitor system. erefore, the real-time safety of the management unit can be divided into static safety reliability and dynamic safety reliability which can be calculated by fuzzy comprehensive evaluation method and driving risk index evaluation, respectively
It is assumed that the moment is t t0, the incident event occurs at a distance Li1 from the start of the road management unit i, the dissipation time is ti1, so the dissipation moment is (t0 + ti1)
Summary
With the rapid development of the freeway, people need higher information service and quality, which include safety, economy, punctuality, and reliability. Travel time reliability is one of the most important factors in the residents’ travel choice. E time and location of the traffic incidents can be affirmed by the traffic administrators according to the change of the travel time, who make reasonable traffic policies; the researchers of the traffic can evaluate the level of the service according to the travel time; traffic travelers can choose the reasonable travel route according to the travel time. Erefore, it is urgent to use effective methods to estimate and forecast the current freeway sections’ travel time information The freeway corridor network has quick access to most traffic flow, its running state is vulnerable to contradictions of supply and demand, bad weather, accidents, and so on. is leads to increased time volatility. erefore, it is urgent to use effective methods to estimate and forecast the current freeway sections’ travel time information
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