Routing

• Multipoint routing
• Time windows supported on stops
• Traveling salesperson

Vehicle Routing Problem

• Time windows
• Driver breaks and specialties
• Vehicle capacities and order quantities

Service Areas

• Complex polygon generation
• Allocation across networks

Closest Facility

• Fixed and mobile asset routing
• Emergency response

OD Cost Matrix

• Travel time matrix
• Maximum destination and distance cutoffs

Drving Directions

• Expandable inset maps
• Auto-generation capability

Dynamically Model Realistic Network Conditions

ArcGIS Network Analyst uses an advanced Network Data Model that allows the use of realistic datasets encompassing multiple attributes such as cost, restriction, and hierarchy. You can define various cost attributes, such as distance, time, and visibility according to their analysis requirements.

Featured of the Network Data Model include

• Complex multipart turns
• Dynamic impedance
• Global weights
• Exact and hierarchical routing
• Network barrier support

Multimodal Network Support

The network dataset incorporates an advanced connectivity model that can represent complex scenarios such as multimodal transportation networks. This enables users to efficiently model multiple forms of transportation across a single dataset by using points of coincidence, such as rail stations or bus stops, that form the linkages between several different forms of transportation.

This is a more accurate representation of real-world integrated transportation networks and supports transportation modeling.

Multimodal networks allow organizations in both the public and private sectors to better perform transportation planning analysis and accessibility modeling. End-user services, such as trip planners, can easily be created that combine multiple forms of transport, such as rail and bus. 

For example, a regional transportation authority can establish a trip planner that shows passengers how to access light rail, bus line, subway, and other networks.

Sophisticated users and developers can implement their own custom solvers to take advantage of the powerful network dataset and its multimodal attribution for generating transportation modeling.

The network dataset offers a robust data management structure for creating, editing, and maintaining network data.