Intelligent GISbased Decision Support System for Bus Routing Problem: Intelligent GISbased DSS for Solving SBRP,Used

Intelligent GISbased Decision Support System for Bus Routing Problem: Intelligent GISbased DSS for Solving SBRP,Used

In Stock
SKU: DADAX3659226300
Brand: LAP Lambert Academic Publishing
Condition: New
$98.73
Quantity
Add to wishlist
Add to compare
Sold by Ergodebooks, an authorized reseller.

Processing time: 1-3 days

US Orders Ships in: 3-5 days

International Orders Ships in: 8-12 days

Return Policy: 15-days return on defective items

Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

The school bus routing problem (SBRP) is a central issue in transportation planning and optimization systems. SBRP seeks to plan an efficient schedule for a fleet of school buses where each bus picks up students from various bus stops and delivers them to their designated schools while satisfying various constraints such as the bus capacity. Due to its complexity, many heuristics have been proposed to solve this combinatorial problem in an effective way. In this book, geographic information systems (GIS)based decisionmaking framework that combines GIS, clustering techniques, network cutting techniques, and a hybrid ant colony optimization metaheuristic with the iterated LinKernighan local improvement heuristic is proposed for solving the SBRP as a split delivery vehicle routing problem (SDVRP). Experiments were conducted for evaluating the proposed framework by comparing the results from it and ArcGIS 9.2 Network Analyst which uses the greedy Dijkstras algorithm. The reported results of the proposed framework generally outperform that of the ArcGIS. IIn addition, the proposed decisionmaking framework was applied to solve a real life SBRP to demonstrate its application.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

Recently Viewed