Abstract
This article analyzes the role of advanced traveler information systems (ATIS) in conjunction with signal setting (SS) design. ATIS and SS are considered as planning options for network optimization under recurrent traffic conditions. The traffic network is considered in within-day static, as is usual for planning-oriented models. Both day-to-day static (equilibrium) and dynamic states are investigated. Notably, equilibrium and stability can influence the feasibility of SS solutions. In addition, the role of ATIS is assessed with regard to its suitability in equilibrating SS optima and/or stabilizing SS equilibria. Travelers’ compliance with information, which plays a crucial role in both optimization and stabilization, is explicitly modeled. A formal modeling framework is introduced, allowing SS and ATIS to be represented, and several benefits and drawbacks of SS and ATIS options are explored. The model is then used for simulations on a hypothetical network. The results suggest the potential of the modeling framework and lead to nontrivial findings about the role of ATIS.
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