Published July 1, 2018 | Version v1
Journal article

Structure Optimization Model of Comprehensive Transport Corridor Based on Resource Constraints

  • 1. School of Highway, Chang'an University, Xi'an, Shanxi 710061 (China)

Description

From the manager and the traveler's point of view, a bi-level programming model of structure optimization considering multi factors is proposed for comprehensive transportation corridor with parallel structure. In the higher level model, land resource consumption, upper model energy consumption and environmental emissions as indicators are selected as indexes to minimize the social resource cost. In the lower level model, the Mode-Path User Equilibrium model is selected for traffic distribution. To minimize the total travel cost of travelers, the supply and demand balance coefficient is selected as the channel response function and a model solution algorithm is designed based on genetic algorithm. At last, the proposed model is applied to Zhejiang Province Hangzhou Ningbo transportation corridor. The channel traffic demand is calculated for the planning year and the reasonable channel structure optimization program is given, which proves that the model is scientific and effective. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/382/3/032003

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
382
Journal Issue
3
Journal Page Range
[6 p.]
ISSN
1757-899X

Conference

Title
International Conference on Advanced Materials, Intelligent Manufacturing and Automation
Dates
23-26 May 2018
Place
Nanjing (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52092544
Subject category
S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTERIZED SIMULATION; DESIGN; ENERGY CONSUMPTION; GENETIC ALGORITHMS; LAND RESOURCES; OPTIMIZATION; PLANNING; PROGRAMMING; RESPONSE FUNCTIONS; SUPPLY AND DEMAND
Descriptors DEC
ALGORITHMS; FUNCTIONS; MATHEMATICAL LOGIC; RESOURCES; SIMULATION