MARC 主機 00000nam  2200313   4500 
001    AAI3132493 
005    20050823122915.5 
008    050823s2004                        eng d 
020    0496797330 
035    (UnM)AAI3132493 
040    UnM|cUnM 
100 1  Chang, Elaine J 
245 10 Time-varying intermodal person trip assignment 
300    338 p 
500    Source: Dissertation Abstracts International, Volume: 65-
       05, Section: B, page: 2520 
500    Adviser:  Athanasios Ziliaskopoulos 
502    Thesis (Ph.D.)--Northwestern University, 2004 
520    This dissertation focuses on the incorporation of buses 
       into both system-optimal and user equilibrium DTA models. 
       Specifically, a cell transmission-based, single 
       destination, system optimal integer linear programming 
       model of intermodal trips on a network of cars and buses 
       is presented, and the model is solved on a test network 
       using standard mathematical programming methods. Also, the
       inter-nodal user equilibrium problem is formulated as a 
       variational inequality, and an inner approximation 
       solution algorithm that minimizes an equilibrium gap 
       function is presented. Algorithm convergence is proven for
       cases with continuous, monotonic cost functions, and 
       heuristic variations are proposed for problems where these
       assumptions do not hold. While the inner approximation 
       assignment algorithm may be applied with any traffic 
       propagation model for calculation of link costs, the 
       approach implemented in the dissertation is a cell 
       transmission-based simulation model. Further, for path 
       generation, a label-correcting intermodal least cost path 
       algorithm, which accounts for both time-varying and fixed 
       travel and transfer costs, is presented with proofs of 
       convergence and correctness 
520    Computational results are presented for the inner 
       approximation DTA model first on a single-mode automobile 
       network test network, as well as on a large-scale 
       multimodal network of cars and buses. This multimodal 
       automobile assignment-based approach is used in a real-
       world evaluation of the regional impacts of transit signal
       priority (TSP). Key findings relate not only to the 
       impacts of TSP, but also to the practical aspects of 
       realistic regional simulation, such as challenges in data 
       acquisition and model validation. In addition, 
       computational results are presented to explore the 
       behavior of the inner assignment algorithm for the 
       intermodal problem 
590    School code: 0163 
590    DDC 
650  4 Engineering, Civil 
690    0543 
710 20 Northwestern University 
773 0  |tDissertation Abstracts International|g65-05B 
856 40 |u