Multi Depot Vehicle Routing Using Ant Colony Optimization - Trip Assignment of Freight Flow Using Modified Gravity Model Special case of CPEC - Flagship of Belt and Road Initiative (BRI)

被引：0

作者：

Saeed, Husnain ^{[1
,2
]}

Ikramullah, Shahid ^{[1
]}

Khan, Mushtaq ^{[1
]}

Amjad, Fahd ^{[2
]}

Ali, Liaqat ^{[3
]}

Zhang Faping ^{[4
]}

机构：

[1] Natl Univ Sci & Technol, Sch Mech & Mfg Engn, Islamabad, Pakistan

[2] Minist Planning Dev & Reforms, Ctr Excellence CPEC, Islamabad, Pakistan

[3] Univ Technol, Nowshera, Pakistan

[4] Beijing Inst Technol, Beijing, Peoples R China

来源：

2020 IEEE 7TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA 2020) | 2020年

关键词：

components: ant colony optimization; gravity model; multi deport vehicle routing; simio; QGIS; matlab; CPEC;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Various optimization techniques have been used to solve Traffic Assignment problem, similarly different variants of Gravity Model have been used to generate the trips across the network This paper presents a unique methodology of combining both techniques and presents a holistic framework of managing Transportation Corridors that emerged due to combining these two proven techniques with slight modifications. Modified Gravity Model (MGM) successfully predicted and generated the trips across a corridor, and Ant Colony Optimization (ACO) helped assign Trips. The data used has been obtained from a real-life Corridor and the results have been verified using statistics from the national authorities managing the corridor. Specific case of China Pakistan Economic Corridor (CPEC) has been considered and modeled in Simio, Matlab and QGIS.

引用

页码：144 / 148

页数：5