Network Analyst Lecture 4. What is network? A network is a system of interconnected elements, such as edges (lines) and connecting junctions (points),

Slides:



Advertisements
Similar presentations
1.Transform Roadway network into a mathematical model using Petri Net (PN) as illustrated in Figure 1. This work has been partially supported by the U.S.
Advertisements

Geometric Networks in ArcGIS
Overview of Network Analyst
ITS THE FINAL LECTURE! (SING IT, YOU KNOW YOU WANT TO) Operations Research.
Airport planning.
Introduction to Arc GIS. Finding information graphically.
Transportation Systems Highway Transportation Characteristics.
ArcLogistics Routing Software for Special Needs, Maintenance and Delivery.
Delay bounded Routing in Vehicular Ad-hoc Networks Antonios Skordylis Niki Trigoni MobiHoc 2008 Slides by Alex Papadimitriou.
Department of Geography and Urban Studies, Temple University GUS 0265/0465 Applications in GIS/Geographic Data Analysis Lecture 4: Network Operations.
© 2009 Rochester Institute of Technology Geospatial Intermodal Freight Transportation (GIFT)
GEOG 111 & 211A Transportation Planning Traffic Assignment.
Lecture 23 (mini-lecture): A Brief Introduction to Network Analysis Parts of the Network Analysis section of this lecture were borrowed from a UC Berkeley.
UP206A: Introduction to GIS. » The ArcGIS Network Analyst extension allows you to build a network dataset and perform analysis on a network dataset »
1 A Vehicle Route Management Solution Enabled by Wireless Vehicular Networks Kevin Collins and Gabriel-Miro Muntean IEEE INFOCOM 2008.
CSC 2300 Data Structures & Algorithms April 17, 2007 Chapter 9. Graph Algorithms.
Math443/543 Mathematical Modeling and Optimization
Chapter 5. Database Aspects of Location-Based Services Lee Myong Soo Mobile Data Engineering Lab. Dept. of.
Lec 28: Ch3.(T&LD): Traffic Analysis – Traffic assignment Learn how to assign generated and distributed trips to the street system approaching the site.
Map Analysis with Networks Francisco Olivera, Ph.D., P.E. Department of Civil Engineering Texas A&M University Some of the figures included in this presentation.
Intelligent Transportation System Using GIS
MNG221 - Management Science
ArcGIS Extensions Expanding the Use of ArcGIS
Computational Methods for Management and Economics Carla Gomes
Spatial Statistics UP206A: Introduction to GIS. Central Feature.
By Christy Jacobs Walk Distance Maps & Analysis Using Network Analyst by Christy Jacobs.
Network and Dynamic Segmentation Chapter 16. Introduction A network consists of connected linear features. Dynamic segmentation is a data model that is.
Enabling a national road and street database in population statistics Pasi Piela Q2014 Vienna Conference.
More Graph Algorithms 15 April Applications of Graphs Graph theory is used in dealing with problems which have a fairly natural graph/network.
Operations Research Assistant Professor Dr. Sana’a Wafa Al-Sayegh 2 nd Semester ITGD4207 University of Palestine.
Copyright © 2006 by Maribeth H. Price 14-1 Chapter 14 Analyzing Networks.
ArcGIS Network Analyst: Network Analysis with ArcGIS Online
Network Analysis with Python
Lecture 4 Transport Network and Flows. Mobility, Space and Place Transport is the vector by which movement and mobility is facilitated. It represents.
 City of Hamilton – Transportation Sustainable Mobility Summit – October 27, 2013.
A Military Logistics and Transportation Security Application.
“Graph theory” for the master degree program “Geographic Information Systems” Yulia Burkatovskaya Department of Computer Engineering Associate professor.
Shortest Path Navigation Application on GIS Supervisor: Dr. Damitha Karunaratne Thilani Imalka 2007/MCS/023.
Geographic Information Systems
UP206A: Introduction to GIS. » The ArcGIS Network Analyst extension allows you to build a network dataset and perform analysis on a network dataset.
Introduction to Network Analyst (adapted from ESRI Lessons) GEOG 4650/ Spring Week 2.
Time Dependent Transportation Network Models Petko Bakalov, Erik Hoel, Wee-Liang Heng # Environmental Systems Research Institute (ESRI)
Huiming Yin, P.E., PhD Liang Wang Paul Maurin Heqin Xu, P.E., PhD Dept. of Civil Engineering & Engineering Mechanics Columbia University Jan 16, 2012 Dynamic.
Log Truck Scheduling Problem
Vehicle Routing Problems
Generated Trips and their Implications for Transport Modelling using EMME/2 Marwan AL-Azzawi Senior Transport Planner PDC Consultants, UK Also at Napier.
Integrating Geographic Information Systems and Vehicle Operations Hal Bowman ESRI, Inc.
URBDP 422 Urban and Regional Geo-Spatial Analysis Network Analysis Team Work Time VIII February 25, 2014.
WFM 6202: Remote Sensing and GIS in Water Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6202: Remote Sensing and GIS in Water Management Dr.
NETWORK ANALYSIS.
Tabu Search Applications Outlines: 1.Application of Tabu Search 2.Our Project with Tabu Search: EACIIT analytics.
Physical Structure of GDB
Introduction In modern age Geographic Information systems (GIS) has emerged as one of the powerful means to efficiently manage and integrate numerous types.
Network Analyst. Network A network is a system of linear features that has the appropriate attributes for the flow of objects. A network is typically.
Chelan County Transportation Element Update
Chapter 9 Network Analysis.
Oil Pipeline Optimal Route
Routing Through Networks - 1
Network Analysis with ArcGIS Online
Transportation and Traffic Engineering Ch 1 Introduction 10/10/2017
GIS for managing public utilities in the City of Frisco – A demonstration by Usha Eleswarapu.
Fast Transportation Network Traversal with Hyperedges
Routing and Logistics with TransCAD
Graphs Chapter 11 Objectives Upon completion you will be able to:
Networks and Shortest Paths
Geometric Network Toolset
Chapter 6 Network Flow Models.
Network Analysis using Python
ArcGIS for Transportation Analytics
Introduction to transportation system
Presentation transcript:

Network Analyst Lecture 4

What is network? A network is a system of interconnected elements, such as edges (lines) and connecting junctions (points), that represent possible routes from one location to another. People, resources, and goods tend to travel along networks: cars and trucks travel on roads, airliners fly on predetermined flight paths, oil flows in pipelines. By modeling potential travel paths with a network, it is possible to perform analyses related to the movement of the oil, trucks, or other agents on the network. The most common network analysis is finding the shortest path between two points. ArcGIS groups networks into two categories: – geometric networks, and – network datasets.

Geometric networks River networks and utility networks—like electrical, gas, sewer, and water lines—allow travel on edges in only one direction at a time. – The agent in the network—for instance, the oil flowing in a pipeline— can't choose which direction to travel; rather, the path it takes is determined by external forces: gravity, electromagnetism, water pressure, and so on. An engineer can control the flow of the agent by controlling how external forces act on the agent. In ArcGIS, utility and river networks are best modeled by geometric networks. Geodatabase feature classes (or feature dataset) are used as data sources to define the geometric network – two types of features: edges and junctions – A geometric network can be built in the Catalog tree Import data into new or existing feature classes. Build a geometric network from the feature classes. Build a geometric network Establish connectivity rules for the geometric network. Establish connectivity rules This is a not a focus of today’s lecture

Network datasets Transportation networks—like street, pedestrian, and railroad networks—can allow travel on edges in both directions. – The agent on the network—for instance, a truck driver traveling on roads—is generally free to decide the direction of traversal as well as the destination. In ArcGIS, transportation networks are best modeled by network datasets. (require the Network Analyst extension) – A single mode of transportation, roads or railroads, – A multimodal of transportations: roads, railroads, waterways, etc. – 3D network datasets, enable model the interior pathways of buildings, mines, caves, etc. This is the focus of today’s lecture and lab

Types of network analysis layers ArcGIS Network Analyst allows you to solve common network problems, such as finding the best route across a city, finding the closest emergency vehicle or facility, identifying a service area around a location, servicing a set of orders with a fleet of vehicles, or choosing the best facilities to open or close. 6 types or solvers: – Route – Closest facility – Service areas – OD cost matrix (an origin-destination (OD) cost matrix from multiple origins to multiple destinations) – Vehicle routing problem – Location-allocation

Source: ArcUser 2012 issue

Dijkstra's algorithm The routing solvers within Network Analyst—namely the Route, Closest Facility, and OD Cost Matrix solvers—are based on the well- known Dijkstra's algorithm for finding shortest paths. Each of these three solvers implements two types of path-finding algorithms. – The first type is the exact shortest path, and the second is a hierarchical path solver for faster performance. – The classic Dijkstra's algorithm solves a shortest-path problem on an undirected, nonnegative, weighted graph. To use it within the context of real-world transportation data, this algorithm is modified to respect user settings such as one-way restrictions, turn restrictions, junction impedance, barriers, and side-of-street constraints while minimizing a user-specified cost attribute. – The performance of Dijkstra's algorithm is further improved by using better data structures such as d-heaps. In addition, the algorithm needs to be able to model the locations anywhere along an edge, not just on junctions. The other three solvers are based on above three solvers or directly on Dijkstra’s algorithm.

Today’s free seminar from ESRI analyst-_dash_-an-introduction analyst-_dash_-an-introduction By Patrick Stevens and Robert Garrity

Description of the seminar Businesses and government agencies perform network analysis to find the most efficient routes–those that meet customer service requirements while minimizing fuel, labor, and other costs–and to find optimal locations for facilities to attract or serve the most customers. ArcGIS Network Analyst is used to model transportation networks and solve problems in which network travel time or cost must be minimized. This seminar discusses different types of network problems and demonstrates a variety of real-world network analysis applications

Key points Find the closest facility to a location to ensure the best response time. Find optimal routes for vehicles making deliveries to multiple stops. Account for impedances such as one-way streets, height and turn restrictions, construction zones, and historical traffic conditions in a vehicle routing analysis. Perform a location-allocation analysis to create service areas based on drive time. Determine the optimal location for a new facility based on drive time. Given a group of facilities serving an area, identify which facility is the best candidate to close while maintaining acceptable service area coverage.