STB UPDATE AUGUST 21, 2017
2
Executive Summary
Network metrics stable; plan adjustments implemented to enable near-term progression
― Dwell and velocity continue modest gains; fluidity meaningfully improved over last two weeks
― Focus on road train origination and arrival metrics not primary in precision scheduled railroading1
Crew and power resource levels are well matched to demand
― Additional engines brought in service to meet coal demand; coal velocity improved vs. 2016
Five hump yards, down from 12, scaling up well with efficiency and performance progression
― Avon hump re-introduced last week; smooth transition occurred
Western Network improving, with terminals fluid, and customer service on site at key field locations
― Train plan tweaked to mitigate secondary congestion; focus on empty car fulfillment processes
― Number of customer problem logs remains elevated as performance coming back into balance
Interchange volumes stable; active communication to maintain performance
1 E.g., holding a train’s origination to allow additional cars to reach a customer on time (end destination) would hinder train origination and
arrival metrics, but provide better service to the customer
CSX experienced congestion challenges at Western corridor terminals from mid-late July
(weeks 29-31); network recovery underway and expected to progress this week
Network measures improving modestly from height of challenges
3Note: Dwell and velocity displayed according to revised CSX methodology; explanation of CSX methodology and comparable view in AAR
methodology can be found in appendix.
Two disruptive derailments occurred in weeks 31 and 32, detrimentally impacting network performance
Velocity (mph)
53
%
54
%
60
%
57
%
55
%
58
%
50
%
August 12 - 18
12
.9
13
.0
13
.6
13
.1
13
.6
12
.5
13
.1
August 12 - 18
11
.3
11
.4 13
.8
13
.5
13
12
.7
11
.6
67
% 76
%
73
%
72
%
70
%
64
%
67
%
15.6 15.5 15.0 15.0 13.5 13.3 13.0 13.2
WK25
WK26
WK27
WK28
WK29
WK30
WK31
WK32
On Time Originations (%)
Dwell (hours)
75% 76%70%
66%58% 59% 55% 57%
WK25
WK26
WK27
WK28
WK29
WK30
WK31
WK32
On Time Arrivals (%)
August 12 - 18
August 12 - 18
On-Time
+2 hrs
On-Time
+2 hrs
11.8 11.9 12.3 11.9 12.8 13.2 13.1 12.8
WK25
WK26
WK27
WK28
WK29
WK30
WK31
WK32
86% 87% 85% 82%77% 74% 72% 72%
WK25
WK26
WK27
WK28
WK29
WK30
WK31
WK32
Weekly Average
74
%
65
%
70
%
69
%
76
%
71
%
75
%
Right Car Right Train holding relatively stable; less relevant in PSR
4
Right Car Right Train1
75%
73% 73%
75%73%
72% 71%70%
WK25
WK26
WK27
WK28
WK29
WK30
WK31
WK32
August 12 - 18
1 ‘Right Car Right Train’ is defined as the percentage of cars that departed from a yard in accordance with their car scheduling trip plan
Right Car Right Train is no longer a measure
that CSX uses to manage its operation
― In precision scheduled railroading (PSR), if a car can
be advanced on another train to speed transit or
ensure its on-time arrival, there is not one “right train”
Car priority is to move cars quickly, on next
available train
― Asset utilization a key tenet of PSR
Train priority is blocking integrity and departing
all available, relevant cars from the yard
― Blocking integrity certifies that a train is built correctly
and shipments are headed to the correct location
― Managed through field supervision
Weekly Average
9,223
9,391
0.0%
1.0%
2.0%
3.0%
4.0%
5.0%
6.0%
7.0%
8.0%
9.0%
10.0%
8,900
9,100
9,300
9,500
9,700
9,900
Q1AVG
Q2AVG
WK25
WK26
WK27
WK28
WK29
WK30
WK31
WK32
WK33
5
Resourcing appropriately to meet business needs
Power and crew availability steady in third quarter at 99% and 95%, respectively
Q3 locomotive level stable; recently added engines
in response to incremental coal demand
T&E trend tracking normal seasonality; re-crew
rates remain at historic lows, down (18%) vs. 2016
Train & Engine Headcount and Re-crew Rate1Active Locomotives
3,763
3,275
2,000
2,400
2,800
3,200
3,600
4,000
Q1AVG
Q2AVG
WK25
WK26
WK27
WK28
WK29
WK30
WK31
WK32
WK33
1 Re-crew rate is re-crew people starts as a percent of total measured people starts, and it represents incidences of replacing a crew on
the same train ID (generally due to hours of service)
6
Hump yard performance steady through transitions; efficiency building
CSX Hump Terminal Overview
Transitioned to flat-switching operations
Hump terminals
Selkirk, NY
Cumberland, MD
Hamlet, NC
Waycross, GA
Atlanta, GABirmingham, AL
Nashville, TN
Louisville, KY
Avon, IN
Cincinnati, OH
Willard, OH
Toledo, OH
19.5 19.020.0
18.018.8 19.3 19.0
19.9
WK25
WK26
WK27
WK28
WK29
WK30
WK31
WK32
Dwell at Hump Terminals1, 2
Avon hump operations resumed last week, supporting
service and prevention of secondary congestion
Key hump productivity and efficiency measures
performing well― Arrive-to-hump, a measure of fluidity and processing efficiency, has
improved by 8% in the last week vs. prior
― Cars per man hour at hump yards up 4% since the start of Q3,
indicating yard productivity with higher volume at remaining humps
― Dwell time stable and compressing slightly
1 Dwell displayed according to CSX methodology; explanation of CSX methodology and comparable view in AAR
methodology can be found in appendix2 Week 33 dwell data excludes Avon due to transition from flat to hump
Absolute number of humps not “good” or “bad”; goal is
best mix of hump and flat yards for processing efficiency
Weekly Average
17
.1
17
.0
19
.7
19
.3
18
.6
18
.5
16
.7
August 12 – 18
Key terminal productivity and performance measures
significantly improved in former “trouble” spots― On-time originations improved more than 100% since period of
greatest concern, to above system levels in week 33
― Dwell down significantly, and much more in line with expectations
― Greater yard productivity evident in cars per man-hour processed
Train plan tweaked to prevent secondary congestion― Leveraging Avon as near-term offset of increased volume flow
through Russell, Columbus and Louisville; fluidity improving daily
7
Western performance improving; plan changes alleviating congestion
16.016.9 16.8 17.3
19.9
22.1
19.5
16.0
Wk 25 Wk 26 Wk 27 Wk 28 Wk 29 Wk 30 Wk 31 Wk 32
Dwell at Western Terminals1, 2
Western Corridor Key Terminals
Birmingham, AL
Nashville, TN
Avon, IN
Evansville, IN
Montgomery, AL
Mobile, AL
Western terminals
1 Dwell displayed according to CSX methodology; explanation of CSX methodology and comparable view in AAR
methodology can be found in appendix2 Week 33 dwell data excludes Avon due to transition from flat to hump
Weekly Average
11
.0
12
.2
16
.9
16
.4 18
.3
11
.7
11
.3
August 12 – 18
8
Car order fill to improve with reduced dwell
50%
55%
60%
65%
70%
75%
80%
85%
90%
2,000
3,000
4,000
5,000
6,000
7,000
25 26 27 28 29 30 31 32 33
Week
Weekly Orders Normalized Order Fill %
Weekly Car Orders and Normalized Fill Rate
Q1 Avg. Weekly Car Orders
Customer car orders up ~40% in Q3
vs. Q1 2017― Merchandise carload expectations down slightly in
comparable timeframe
― Order levels have disconnected with demand
Absolute orders filled are down with
network challenges ― Network improvement to drive additional orders
filled as empty dwell, and overall dwell, are reduced
― Car storage paused to address; CSX fleet sized to
capture demand in a recovering environment
Normalized fill rate1 ranging 70-85%― Process evaluation underway to realign order level
with demand and improve fulfillment accountability
Cars
Ordered
Normalized
Fill Rate
1 Normalized fill rate is a proxy of demand fulfillment against historical/expected order levels, as current order levels have disconnected with demand
9
Last mile performance stable
Local Service Measurement1
95%90%
84% 83%80% 81% 81% 80% 79% 78%
83%
Q1AVG
Q2AVG
WK 25 WK 26 WK 27 WK 28 WK 29 WK 30 WK 31 WK 32 WK 33
1 ‘Local Service Measurement’ is defined as the percentage of cars that were pulled or placed at a customer location based upon daily customer
request, the local service plan and available inventory at the local serving yard
Local Service Measurement (LSM) is no longer
a metric that CSX uses to manage its operation
― In precision scheduled railroading (PSR), focus on end-
to-end transit and customer expectations
― Last mile performance must be in combination with, not
independent of, overall performance
Accordingly, LSM as a reported metric was
discontinued upon start of PSR implementation
― At request of STB, last mile tracking reinstated to
monitor through implementation period
― Data reflects passive information flow, lacking prior
focus on field reporting to ensure LSM capture
Reliable pull and place expected as part of
service to customers
10
Customer inquiries, problem logs elevated; action plans being executed
354368
286
374
458
570 563537 567
WK 25 WK 26 WK 27 WK 28 WK 29 WK 30 WK 31 WK 32 WK 33
Delayed Cars Bad Order Switching Issues
Customer InquiriesDaily Average Log Volume
Delayed cars have been most frequent concern
― Trend in problem logs mirrors timeframe of network
challenges
― Overall dwell falling and enhanced focus on long-dwell
cars to ensure all cars benefit from fluidity gains
Customer service and commercial presence at
key field location has aided communication and
problem resolution
― New location assignments this week include: Columbus,
Russell, Avon, Memphis
Nearly 90% of problem logs have been
addressed and closed to-date
― Managing pipeline of customer concerns to full resolution
Interchange volume up slightly at gateway locations
0
200
400
600
800W
K 2
5
WK
26
WK
27
WK
28
WK
29
WK
30
WK
31
WK
32
WK
33
East St. LouisDaily Average Interchange Volume
From To
0
200
400
600
WK
25
WK
26
WK
27
WK
28
WK
29
WK
30
WK
31
WK
32
WK
33
New OrleansDaily Average Interchange Volume
0
400
800
1,200
1,600
WK
25
WK
26
WK
27
WK
28
WK
29
WK
30
WK
31
WK
32
WK
33
Chicago Daily Average Interchange Volume
0
100
200
300
WK
25
WK
26
WK
27
WK
28
WK
29
WK
30
WK
31
WK
32
WK
33
MemphisDaily Average Interchange Volume
12
Precision scheduled railroading to produce service improvement
Improve
Service
Operate
Safely
Control
Costs
Drive Asset
Utilization
Develop
People
Operational Focus
Terminal
Fluidity
Balanced
Train Plan
Service Improvements
Rolling Stock
UtilizationPeople
Efficiency
Fuel
OptimizationTrain
Density
Improved
FrequencyBetter
Reliability
Faster
TransitQuicker
Turnaround
Productivity Improvements&
Realigned service frequency in second quarter
Set the groundwork of a balanced train plan in early July
Currently balancing between terminals’ improving efficiency and modest adjustments in traffic
flows to recover near-term service
Improved execution on this foundation to drive long-term service and productivity improvements
14
Velocity
Former Line of road miles per hour
Future
Total miles traveled per hour,
including intermediate dwell of
the train
Change
Reason
Includes full trip of a train and
ability to diagnose overall speed
profile (in support of
improvement in asset cycle)
Effect on
MetricReported velocity will be lower
CSX has changed methodology on some metrics reported publicly
Dwell
FormerCar time at terminal, excluding
cars on the same train ID
Future
All car time with a terminal work
event, including through cars on
same train ID (e.g. crew change)
Change
Reason
Includes all dwell with ability to
diagnose all events impacting car
movement (in support of
improvement in asset cycle)
Effect on
MetricReported dwell will be lower
Restated historical data in new methodology to be available on csx.com
Cars Online
FormerAll cars on CSX, as determined
by RailInc
Future
RailInc cars on CSX, excluding
cars stored, under repair, sold,
and private cars ex online
inventory
Change
Reason
More accurate measurement of
active cars on line, i.e. cars for
which CSX is focused on real-
time, efficient movement
Effect on
Metric
Reported cars online will be
lower
15
While absolute value of metrics has changed, trend remains consistent
6
8
10
12
14
16
18
Q1 Q2 Q3-to-date
2017 Velocity 2016 Velocity
6
8
10
12
14
16
18
Q1 Q2 Q3-to-date
2017 Dwell 2016 Dwell
Average Velocity (mph) Average Dwell (hours)
Restated historical data in new methodology to be available on csx.com
The following pages include applicable presentation material using prior
methodology for comparability during metrics methodology cutover
16
Velocity (mph)
Network measures improving modestly from height of challenges
17
19
.3
18
.9
18
.7
19
.1
18
.7
17
.9
17
.4
August 12 - 18
67
% 76
%
73
%
72
%
70
%
64
%
67
%
21.2 21.3 20.6 20.4
19.2 18.7 18.7 18.4
WK25
WK26
WK27
WK28
WK29
WK30
WK31
WK32
On Time Originations (%)
Dwell (hours)
August 12 - 18
August 12 - 18
26.3 26.627.7
26.428.0
29.2 29.4 29.3
WK25
WK26
WK27
WK28
WK29
WK30
WK31
WK32
86% 87% 85% 82% 77% 74% 72% 72%
WK25
WK26
WK27
WK28
WK29
WK30
WK31
WK32
27
.7
28
.2 31
29
.2
28
.8
28
.2
27
.3
Note: Dwell and velocity displayed according to AAR methodology
On Time Arrivals (%)
53
%
54
%
60
%
57
%
55
%
58
%
50
%
August 12 - 18
75%76%70%66%
58%59%55%57%
WK25
WK26
WK27
WK28
WK29
WK30
WK31
WK32
On-Time
+2 hrs
On-Time
+2 hrs
Weekly Average
Two disruptive derailments occurred in weeks 31 and 32, detrimentally impacting network performance
18
Hump yard performance steady through transitions; efficiency building
1 Dwell displayed according to AAR methodology2 Week 33 dwell data excludes Avon due to transition from flat to hump
CSX Hump Terminals
Transitioned to flat-switching operations
Hump terminals
Selkirk, NY
Cumberland, MD
Hamlet, NC
Waycross, GA
Atlanta, GABirmingham, AL
Nashville, TN
Louisville, KY
Avon, IN
Cincinnati, OH
Willard, OH
Toledo, OH
25
.6 27
.1
31
.3
30
.4
28
.7
29
.5
27
.9
August 12 – 18
30.0 30.0 30.2
27.6 27.528.6
29.631.5
WK 25WK 26WK 27WK 28WK 29WK 30WK 31WK 32
Dwell1,2
Absolute number of humps not “good” or “bad”;
rather, a different configuration of handling traffic
Weekly Average
Avon hump operations resumed last week, supporting
service and prevention of secondary congestion
Key hump productivity and efficiency measures
performing well― Arrive-to-hump, a measure of fluidity and processing efficiency, has
improved by 8% in the last week vs. prior
― Cars per man hour at hump yards up 4% since the start of Q3,
indicating yard productivity with higher volume at remaining humps
― Dwell time stable and compressing slightly
19
Western performance improving; plan changes alleviating congestion
31
.2
33
.4 37
.5
33
.7 37
.4
26
.4 32
.0
August 12 - 18
36.0 37.4 36.9 38.0
45.651.7 52.6
41.4
Wk 25Wk 26Wk 27Wk 28Wk 29Wk 30Wk 31Wk 32
Dwell1,2
Western Corridor Key Terminals
Birmingham, AL
Nashville, TN
Avon, IN
Evansville, IN
Montgomery, AL
Mobile, AL
Western terminals
1 Dwell displayed according to AAR methodology2 Week 33 dwell data excludes Avon due to transition from flat to hump
Weekly Average
Key terminal productivity and performance measures
significantly improved in former “trouble” spots― On-time originations improved more than 100% since period of
greatest concern, to above system levels in week 33
― Dwell down significantly, and much more in line with expectations
― Greater yard productivity evident in cars per man-hour processed
Train plan tweaked to prevent secondary congestion― Leveraging Avon as near-term offset of increased volume flow
through Russell, Columbus and Louisville; fluidity improving daily