Abstract
In order to obtain an effective method for solving route travel time reliability, this paper proposes an effective new method to calculate travel time reliability using an independent link travel time function. Based on several months of historical data, the results show that the Edgeworth expansion can better reflect travel time distribution law. In addition, travel time reliability can be calculated more conveniently by combining an approximate discretization algorithm and an empirical distribution function.
Highlights
Urban development has made traffic congestion increasingly severe, resulting in a high demand for a reliable transportation system
There are many stochastic factors that affect the systems, such as traffic congestion and road maintenance. These factors highlight the importance of a reliable transportation network
The study of travel time reliability is of great significance for evaluating road network operations and improving travel quality
Summary
Urban development has made traffic congestion increasingly severe, resulting in a high demand for a reliable transportation system. There are many stochastic factors that affect the systems, such as traffic congestion and road maintenance These factors highlight the importance of a reliable transportation network. Emam and Al-Deek estimated travel time reliability using data comprising the number and speed of vehicles provided by a coil detector on a highway in Orlando, Florida. They assessed the goodness of fit using Weibull, exponential, lognormal, and Gaussian distributions. Pan et al addressed the dynamic networks to determine and control the risk of stochastic travel times They used optimization theory to develop algorithms to solve the problem [8]. Using historical data from a highway in Shanghai, this paper explores a new analytical method to solve for travel time reliability
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