- Multimodal, Multiclass Stochastic Dynamic Traffic
- Assignment for Evaluating Information
- Provision Strategies
- Seungjae Lee
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| A multimodal, multiclass stochastic dynamic traffic assignment model was developed to evaluate pre-trip and en-route travel information provision strategies. Three different information strategies were examined: user optimum [UO], system optimum [SO] and mixed optimum [MO]. These information provision strategies were analyzed based on the levels of traffic congestion and market penetration rate for the information equipment. Only two modes, bus and car, were used for evaluating and calculating the modal split ratio. Several scenarios were analyzed using day-to-day and within day dynamic models. From the results analyzed, it was found that when a traffic manager provides information for drivers using the UO strategy and drivers follow the provided information absolutely, the total travel time may increases over more than the case with no information. Such worsening occurs when drivers switch their routes and face traffic congestion on the alternative route. This phenomenon is the 'Braess Paradox '. |
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