A Bi-Level Programming Model of Urban Transportation Energy Consumption Based on Road Network Capacity

2009 ◽  
Author(s):  
Rui Xiang ◽  
Jinsong Shi ◽  
Xiang Zang ◽  
Qilu Xu
Keyword(s):  
Energy Consumption ◽  
Road Network ◽  
Programming Model ◽  
Urban Transportation ◽  
Network Capacity ◽  
Transportation Energy

scholarly journals Collaborative Multidepot Petrol Station Replenishment Problem with Multicompartments and Time Window Assignment

2020 ◽  
Vol 2020 ◽  
pp. 1-22
Author(s):  
Guangcan Xu ◽  
Maozeng Xu ◽  
Yong Wang ◽  
Yong Liu ◽  
Qiguang Lv
Keyword(s):  
Energy Supply ◽  
Time Window ◽  
Programming Model ◽  
Urban Transportation ◽  
Mixed Integer ◽  
Supply Network ◽  
Transportation Energy ◽  
The Sustainable Development ◽  
Petrol Station ◽  
Chongqing City

Energy supply is an important system that affects the overall efficiency of urban transportation. To improve the system operational efficiency and reduce costs, we formulate and solve a collaborative multidepot petrol station replenishment problem with multicompartments and time window assignment by establishing a mixed-integer linear programming model. The hybrid heuristic algorithm composed of genetic algorithm and particle swarm optimization is used as a solution, and then the Shapley value method is applied to analyze the profit allocation of each petrol depot under different coalitions. The optimal membership sequence of the cooperation is determined according to the strict monotone path. To analyze and verify the effectiveness of the proposed method, a regional petrol supply network in Chongqing city in China is investigated. Through cooperation between petrol depots in the supply network, the utilization of customer clustering, time window coordination, and distribution truck sharing can significantly reduce the total operation costs and improve the efficiency of urban transportation energy supply. This approach can provide theoretical support for relevant government departments and enterprises to make optimal decisions. The implementation of the joint distribution of energy can promote the sustainable development of urban transportation.

Prospective Prognosis of Beijing Urban Transportation Energy Consumption and Carbon Emission

2012 ◽  
Vol 253-255 ◽  
pp. 1121-1129
Author(s):  
Ying Yue Hu ◽  
Feng Chen ◽  
Yao Huang
Keyword(s):  
Energy Consumption ◽  
Carbon Emission ◽  
Road Traffic ◽  
Urban Transportation ◽  
Forecast Model ◽  
Calculation Model ◽  
Urban Rail Transit ◽  
Low Carbon ◽  
Transportation Energy ◽  
Urban Rail

In order to achieve the goal of low-carbon development of the Beijing transportation, the changing trend of the transportation energy consumption and carbon emission is analyzed based on the inertia development of the present situation or under different macroscopic regulations so as to provide theoretical reference for transportation department to formulate development strategies effectively. According to the characteristics of the Beijing urban transportation system, first a energy consumption and carbon emission calculation model for urban road traffic and urban rail transit was established separately. Then the inertia-based prediction model of Beijing urban transportation energy consumption and carbon emission was established, by analyzing the development law of the related basic parameters using regression and other methods. According to the current policies, the development and prediction of part of the parameters were limited, and a scenario forecast model has been thus established (suitable up to 2020). Four types of scenario prediction examples under different policies were presented, and the contribution rate of each policy for carbon emission was analyzed.

scholarly journals A Modified Network-Wide Road Capacity Reliability Analysis Model for Improving Transportation Sustainability

Algorithms ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 7
Author(s):  
Kui Ji ◽  
Jianxiao Ma
Keyword(s):  
Reliability Analysis ◽  
Travel Time ◽  
Road Network ◽  
Programming Model ◽  
Network Capacity ◽  
User Equilibrium ◽  
Stochastic User Equilibrium ◽  
Analysis Model ◽  
Step Size ◽  
Level Model

Reserve capacity is the core of reliability analysis based on road network capacity. This article optimizes its bi-level programming model: the upper-level model has added service level coefficient and travel time limit, which realizes the unification of capacity and travel time reliability analysis to a certain extent. Stochastic user equilibrium (SUE) model based on origin has been selected as the lower-level model, which added capacity constraints to optimize distribution results, and allows the evaluation of reliability to be continued. Through the SUE model, the iterative step size of the method of successive averages can be optimized to improve the efficiency of the algorithm. After that, the article designs the algorithm flow of reliability analysis based on road network capacity, and verifies the feasibility of the designed algorithm with an example. Finally, combined with the conclusion of reliability analysis, this article puts forward some effective methods to improve the reliability of the urban road network.

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