Work

Multiple Constrained Dynamic Path Optimization based on Improved Ant Colony Algorithm

Year: 2014

Type: article

Abstract: Vehicle navigation system can effectively alleviate traffic congestion, reduce pollution, and reduce travel cost and other problems.As is known to all, the traditional ones are all just static path planning with problems of not only weak effectiveness but also lack of standard optimal path options.They usually provide only one path which represents the shortest time or shortest distance, and ignore the actual demands of the d i rivers.Based on traffic data of the past, the upcoming traffic flows can be estimated.With the help of the improved ant colony algorithm, the dynamic optimal path planning results will meet the need of the travelers according with multiple actual constraints.

Source: International Journal of u- and e- Service Science and Technology

DOI: 10.14257/ijunesst.2014.7.6.11

Authors: Seng Dewen, Tang Meixia, Wu Hao, Fang Xujian, Xu Haitao

Institution: Hangzhou Dianzi University

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: bronze

Funders: National Natural Science Foundation of China, Hangzhou Dianzi University