This paper focuses on modeling agents' en-route diversion behavior under information
provision. The behavior model is estimated based on naïve Bayes rules and re-calibrated …

This paper presents a discrete-choice model of traveler response to information. It
contributes to existing approaches by describing both the acquisition and the effect on travel …

This paper develops a theoretical approach to identify optimal traffic routing strategy for
managing transportation systems. It obtains the optimal traffic diversion ratio to each route …

Adaptive route choice models are studied that explicitly capture travelers' route choice
adjustments according to information on realized network conditions in stochastic time …

This paper presents a novel idealised dynamical model of day to day traffic re-routeing (as
traffic seeks cheaper routes) and proves a stability result for this dynamical model.(The …

This study introduces a general methodology to process sparse floating car data, reconstruct
the routes followed by the drivers, and cluster them to achieve suitable choice sets of …

This paper proposes a seamless framework to incorporate the day-to-day and within-day
dynamics of driver route choice decisions under real-time information provision by adapting …

In this paper, we present a modeling approach, based on Fuzzy Data Fusion, to reproduce
drivers' dynamic choice behavior under an Advanced Traveler Information System (ATIS) …

The future of artificial intelligence is bright and will create new situations in which humans
can share or delegate decisions to machines and algorithms–as is likely to be the case in …

日常路径选择是一个长期的, 多体参与的非合作博弈过程. 基于多智能体环境,
对交通信息公开和不公开两种路径更新规则进行了模拟研究, 结果表明, 信息公开比不公开能够 …