TRAINFO CONGESTION ANALYTICS
Understand Traffic Impacts Caused by Railroad Crossing Blockages
Need to know how long vehicles are delayed at railroad crossings?
TRAINFO Congestion Analytics is the most accurate method to measure traffic delays at railroad crossings.
With TRAINFO Congestion Analytics you can:
Rank railroad crossings based on traffic delay.
Evaluate options to reduce traffic delay at railroad crossings.
Conduct before-and-after studies to measure the performance of delay mitigation options.
Develop strong business cases for funding support.
A train sensor is installed at the railroad crossing. It measures when the crossing is blocked
Bluetooth sensors are installed on either side of the railway crossing. They measure travel time with and without a crossing blockage.
TRAINFO’s proprietary software analyzes data from Bluetooth and train detection sensors.
TRAINFO produces a detailed traffic congestion report.
TRAINFO Congestion Analytics vs Conventional Methods
Compared to TRAINFO Congestion Analytics, conventional methods consistently underestimate traffic delay at railroad crossings by up to 500%.
Why is this? It’s the difference between measuring and modeling delay.
Conventional Methods
The modeling approach
Conventional methods model delays at railroad crossings rather than measure them like TRAINFO Congestion Analytics.
The following figure illustrates how conventional methods conceptualize traffic delay at a crossing with six trains per day and highlights major assumptions and limitations.
A
Travel time without a train blockage
Incorrectly assumes that travel time is constant throughout the day.
B
Train crossing blockage
Incorrectly assumes that crossings are blocked at equal times throughout the day and that each blockage is the same duration.
C
Travel time with train blockage
Unable to account for vehicles that re-route due to the blockage.
D
Delay caused by a train
Underestimates travel delay caused by trains.
TRAINFO Congestion Analytics
The measurement approach
TRAINFO Congestion Analytics measures traffic delay at a crossing using real-time data.
The following figure illustrates how the TRAINFO method conceptualizes the same crossing as above with six trains and how it addresses the major limitations of conventional methods.
A
Travel time without a train blockage
Bluetooth sensors measure the exact travel time without a train.
B
Train crossing blockage
Train detection sensors measure the exact time a crossing is blocked.
C
Travel time with train blockage
Bluetooth sensors measure the exact travel time when a crossing is blocked.
D
Delay caused by a train
Traffic delay is calculated by comparing travel time with a train to expected travel time without a train.