TY - JOUR
T1 - Optimization of grid transit system in heterogeneous urban environment
AU - Chien, Steven
AU - Schonfeld, Paul
PY - 1997/1/1
Y1 - 1997/1/1
N2 - Current analytic models for optimizing urban transit systems tend to sacrifice geographic realism and detail in order to obtain their solutions. The model presented here shows how an optimization approach can be successful without oversimplifying the spatial characteristics and demand patterns of urban areas. This model is designed to optimize a grid transit system in a heterogeneous urban environment whose demand and supply characteristics may vary arbitrarily among adjacent zones. Network characteristics (route and station locations) and operating headways are found that minimize the total cost, including supplier and user costs. Irregular many-to-many demand patterns, zonal variations in route costs, and vehicle capacity constraints are considered in a sequential optimization process.
AB - Current analytic models for optimizing urban transit systems tend to sacrifice geographic realism and detail in order to obtain their solutions. The model presented here shows how an optimization approach can be successful without oversimplifying the spatial characteristics and demand patterns of urban areas. This model is designed to optimize a grid transit system in a heterogeneous urban environment whose demand and supply characteristics may vary arbitrarily among adjacent zones. Network characteristics (route and station locations) and operating headways are found that minimize the total cost, including supplier and user costs. Irregular many-to-many demand patterns, zonal variations in route costs, and vehicle capacity constraints are considered in a sequential optimization process.
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U2 - 10.1061/(ASCE)0733-947X(1997)123:1(28)
DO - 10.1061/(ASCE)0733-947X(1997)123:1(28)
M3 - Article
AN - SCOPUS:0031413329
SN - 0733-947X
VL - 123
SP - 28
EP - 35
JO - Transportation engineering journal of ASCE
JF - Transportation engineering journal of ASCE
IS - 1
ER -