01128741

Component

This study presents a bi-level road network optimization model for developing cities. Different from the existing studies on this issue, a set of road candidates are optimized in a long term period rather than only one target year. The model considers the dynamic changes by introducing the growth rates of disposable income, car ownership and population in the evaluation. Targeted at minimizing the aggregated cost, the model attempts to explore which road candidates and also how many lanes corresponding to them will be invested in each year. The upper-level model aims to minimize the yearly cumulative costs consisting of construction cost, maintenance cost, energy consumption cost, total travel time cost, cost relevant to pollutants including HC, CO, and NOx emissions, and cost relevant to greenhouse gases including CO2, CH4, and N2O emissions. The lower-level model is a user equilibrium traffic assignment model and solved in each evaluation year. The results derived by traffic assignment model including traffic flow, average travel speed and travel time on each link, are used to estimate each cost component in the upper-level model. Due to the introduction of potentially different road candidates to road network in each year, OD demand will change in terms of road network, population and car ownership in this year. Thus zonal trip generation and attraction is estimated year by year according to the growth-factor method. And then annual origin destination (OD) demand is obtained by the double constrained gravity model and introduced into the lower-level model. Considering the complexity of the model, three heuristic algorithms such as Genetic Algorithm, Simulated Annealing and Artificial Bee Colony are employed to solve the optimization model respectively. A realistic example is conducted to validate the proposed model. The results show the model can identify effectively the optimal set of the planned road candidates for capturing dynamic changes in developing cities.

01120148

09-1060

English

22p

2009

Transportation Research Board 88th Annual Meeting

DVD

Figures; Maps; References (15) ; Tables (2)

Automobile ownership; Developing countries; Energy consumption; Environmental impacts; Exhaust gases; Operating costs; Optimization; Origin and destination; Pollutants; Systems analysis; Traffic assignment; Urban growth

Road networks

Environment; Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2009 Paper #09-1060

TRIS, TRB

Jan 30 2009 5:16PM