Specification of the cross-nested logit model with sampling of alternatives for route choice models

We present an operational estimation procedure for the estimation of route choice multivariate extreme value (MEV) models based on sampling of alternatives. The procedure builds on the state-of-the-art literature, and in particular on recent methodological developments proposed by Flötteröd and Bierlaire (2013) and Guevara and Ben-Akiva (2013b). Case studies on both synthetic data and a real network demonstrate that the new method is valid and practical.     

京津都市圈空间运输联系的分布特征研究

区域空间运输联系的分布特征是研究空间运输联系的重要组成部分,针对都市圈出现的以轨道交通为骨干,公路交通为主体,支线航空为补充的综合快速客运系统格局,分析了都市圈空间运输联系的基本特征。在京津都市圈现有的区域性交通运输网络体系基础上,通过对其各主要城市之间的客流量的分布状况和运输联系强度,并利用非均衡系数、集中度、公路旅客运输联系强度3个指标来分析京津都市圈空间运输联系的分布特征。结果表明:京津都市圈空间运输联系指向于北京和天津两个中心城市,并且各城市客流分布不均衡。     

京津都市圈空间运输联系的分布特征研究

区域空间运输联系的分布特征是研究空间运输联系的重要组成部分,本文针对都市圈出现的以轨道交通为骨干,公路交通为主体,支线航空为补充的综合快速客运系统格局,分析了都市圈空间运输联系的基本特征。在京津都市圈现有的区域性交通运输网络体系基础上,通过对其各主要城市之间的客流量的分布状况和运输联系强度,并利用非均衡系数、集中度、公路旅客运输联系强度三个指标来分析京津都市圈空间运输联系的分布特征。结果表明,京津都市圈空间运输联系指向于北京和天津两个中心城市,并且各城市客流分布不均衡。     

Formulating the within-day dynamic stochastic traffic assignment problem from a Bayesian perspective

This study proposes a formulation of the within-day dynamic stochastic traffic assignment problem. Considering the stochastic nature of route choice behavior, we treat the solution to the assignment problem as the conditional joint distribution of route traffic, given that the network is in dynamic stochastic user equilibrium. We acquire the conditional joint probability distribution using Bayes’ theorem. A Metropolis–Hastings sampling scheme is developed to estimate the characteristics (e.g., mean and variance) of the route traffic. The proposed formulation has no special requirements for the traffic flow models and user behavior models, and so is easily implemented.