Page 67 - Big Data Analytics for Connected Vehicles and Smart Cities

48 Big Data Analytics for Connected Vehicles and Smart Cities What Is Big Data? 49

Table 3.4
Traffic Management Data Sources
Traffic Signal Timing
Traffic speed
Traffic volume
Intersection turning movement counts
Travel times between intersections
Number of incidents
Duration of incidents
Response times for incidents

Table 3.5
Traveler Information Data Sources
Traveler Information
Demand for travel
Travel conditions
User preferences
Cost of travel
Reliability of travel time
Availability of travel options
Best route options
Ride matching options

Public Transportation Management
Public transportation management includes activities required to manage the
fleet of transit vehicles and provide passenger information. It includes the man-
agement of fixed route, paratransit, and flexible route services. Fixed-route ser-
vices follow a predefined route and schedule. Paratransit services are typically
on-demand and available to transportation disadvantaged customers who can-
not travel by the other public transportation services. In recent times flexible
route services have been introduced that combine some aspects of fixed-route,
with some aspects of on-demand. For example, one approach to flexible-route
services would be to assign a bus within the zone or region and allow customers
to call the bus service on-demand. The customer would be able to request bus
service from the residence to any point within the zone or to the closest access
point to fixed-route services. Table 3.6 lists data possibilities.

Electronic Payment
These are designed to make it easier for travelers to pay for transportation ser-
vices. They include electronic toll collection, electronic ticketing for transit, and