A combined traveler behavior and system performance model with advanced traveler information systems

摘要: Abstract The goal of this paper is to develop a framework for evaluating the effect Advanced Traveler Information Systems. uses composite traffic assignment model which combines probabilistic traveler behavior route diversion and queuing evaluate Systems impacts under incident conditions. considers three types travelers: those who are unequipped with electronic devices, i.e. they do not have or radio in their vehicles; receive delay information from only; access only. travelers able observe incident-induced congestion, if congestion reaches exceeds decision point. assigns shortest travel time route. Travelers can assigned according behavioral calibrated on revealed preference data. completely unaware usual unique feature integration realistic system performance while accounting real-time information. To demonstrate application model, we consider evolution queues two link network an bottleneck. findings indicate that overall performance, measured by average time, improves marginally increased market penetration However, benefits conditions expected be marginal when there more ‘information’ available through own observation radio. Specifically, received induces people divert earlier causing operate closer optimal than user equilibrium. This limits potential