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 |uhttp://pqdd.sinica.edu.tw/twdaoapp/servlet/
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