Page 166 - Big Data Analytics for Connected Vehicles and Smart Cities

146 Big Data Analytics for Connected Vehicles and Smart Cities The Practical Application of Analytics to Transportation 147

Table 7.3
Candidate Analytics for Traffic Management
Candidate Analytics Application Notes
Number of stops per vehicle This analytic would be used as part of an overall approach
to minimize the number of stops that a vehicle encounters
along the route. This would require the use of optimization
software on a network-wide basis and data regarding the
traffic conditions encountered by each individual vehicle,
from connected vehicle sources.
Travel time per vehicle As above this would be part of an overall approach to
minimize travel time for vehicle and to minimize the
variability of travel time. This would also make use of
optimization software and connected vehicle data sources.
Total incident response time Total incident response time would span the process
from incident detection, through verification, to dispatch
of resources, then incident clearance and include traffic
management over the duration of the process. Based
on an incident response time study, incident response
procedures can be streamlined and the assignment
of resources on a geographical basis could also be
considered.
Recurring congestion A detailed analysis of recurring congestion, typically
caused by commuters with a regular travel pattern. The
study would lead to recommendations for increasing
capacity and for better management of the recurring traffic
conditions.
Number of pedestrians, cycles, This analytic supports the optimization of the performance
buses, freight vehicles and private of each intersection on a multimodal basis. This would
cars move through an intersection involve the read timing of traffic signals for private cars,
per hour transit vehicles, pedestrians, and bicycles.
Pedestrian, circle, bus, freight This analytic supports the optimization of the performance
vehicle and private car delays at of the citywide traffic network on a multimodal basis.
intersections Would involve the re timing of traffic signals for private
cars, transit vehicles, pedestrians, and bicycles.
Number of stops per vehicle for Enables the use of connected vehicle and optimization
each trip software to determine the number of stops per vehicle for
each trip.
Variability of travel time per vehicle As above but would address the variability of travel time
for each trip per vehicle for each trip.
Signal timing is designed to Makes use of connected vehicle data to understand
optimize the trajectory of each individual vehicle trajectories in in terms of instantaneous
vehicle through the intersection vehicle speed and stops. Signal timing will be optimized
in the light of this new information to attempt to smooth
traffic flow by reducing acceleration and deceleration due
to stops.
Coordinated signal timings As above but on a network-wide rather than individual
designed to optimize the trajectory intersection basis.
of each vehicle through the
network