When Should You Catch the Bus in Dublin? A Time-Based Analysis

I analyzed 100,000+ bus delay records to find the best and worst times to travel in Dublin. Here's exactly when to leave to minimize your wait.

The Commuter's Dilemma#

You know the feeling: you could leave at 8:00am and probably be late, or leave at 7:30am and definitely be early. But which is actually better?

I used real data to find out precisely when Dublin buses run on time—and when they don't.

The Data#

From my Dublin Bus Pipeline:

• 100,000+ delay records
• 708 vehicles tracked
• 198 routes analyzed
• Data across multiple time periods

The Hourly Breakdown#

Delay by Hour of Day#

1Hour    Avg Delay   Status
2────────────────────────────
3 6am      0.5 min   ████ Excellent
4 7am      1.2 min   ████ Good
5 8am      4.8 min   ████████████████ WORST MORNING
6 9am      3.2 min   ██████████ Bad
710am      1.5 min   █████ OK
811am      1.0 min   ███ Good
912pm      1.2 min   ████ Good
10 1pm      1.4 min   ████ OK
11 2pm      1.1 min   ███ Good
12 3pm      1.8 min   █████ OK
13 4pm      2.5 min   ███████ Building
14 5pm      5.2 min   █████████████████ WORST EVENING
15 6pm      4.1 min   █████████████ Bad
16 7pm      2.0 min   ██████ OK
17 8pm      0.8 min   ██ Excellent
18 9pm      0.4 min   █ Best

Key Findings#

| Period | Avg Delay | On-Time Rate | |--------|-----------|--------------| | Early Morning (6-7am) | 0.9 min | 82% | | Morning Rush (8-9am) | 4.0 min | 54% | | Midday (10am-3pm) | 1.3 min | 74% | | Evening Rush (5-6pm) | 4.7 min | 51% | | Evening (7-9pm) | 1.1 min | 78% |

The worst hour: 5-6pm with an average delay of 5.2 minutes and only 51% on-time rate.

The Day of Week Pattern#

Not all days are equal:

1Day         Avg Delay   Relative to Average
2──────────────────────────────────────────────
3Monday        2.8 min   ████████████████ +40% WORST
4Tuesday       2.1 min   ██████████ +5%
5Wednesday     2.0 min   █████████ Baseline
6Thursday      2.2 min   ██████████ +10%
7Friday        2.5 min   ███████████ +25%
8Saturday      1.2 min   █████ -40%
9Sunday        0.8 min   ██ -60% BEST

The Monday Effect#

Monday mornings are 40% worse than the weekly average. Why?

1. Weekend spillover - Traffic patterns reset, drivers out of rhythm
2. Higher volume - Everyone returns to work/school simultaneously
3. Fresh complaints - Service issues from weekend not yet resolved

The Friday Buildup#

Friday afternoons see elevated delays as:

• People leave early for weekends
• Compressed traffic window
• Social activities add non-commute traffic

The Perfect Storm: When NOT to Travel#

Combining hour and day data reveals the worst combinations:

☠️ Avoid At All Costs#

| Rank | Time Slot | Avg Delay | On-Time | |------|-----------|-----------|---------| | 1 | Monday 8-9am | 6.2 min | 42% | | 2 | Monday 5-6pm | 5.8 min | 45% | | 3 | Friday 5-6pm | 5.5 min | 48% | | 4 | Tuesday 5-6pm | 5.1 min | 50% | | 5 | Thursday 8-9am | 4.9 min | 52% |

✅ Best Times to Travel#

| Rank | Time Slot | Avg Delay | On-Time | |------|-----------|-----------|---------| | 1 | Sunday 10am-4pm | 0.6 min | 89% | | 2 | Saturday 10am-2pm | 0.9 min | 85% | | 3 | Weekday 6-7am | 1.0 min | 82% | | 4 | Weekday 9pm+ | 0.5 min | 88% | | 5 | Wednesday 11am | 0.8 min | 84% |

Quantifying the "Leave Earlier" Strategy#

How much does leaving 15-30 minutes earlier actually help?

Morning Commute Analysis#

1Leave Time    Arrive 9am Job    Avg Delay    Risk Level
2─────────────────────────────────────────────────────────
38:30am        On time           4.8 min      HIGH (50%)
48:15am        15 min early      2.1 min      MEDIUM (25%)
58:00am        30 min early      1.2 min      LOW (10%)
67:45am        45 min early      0.8 min      VERY LOW (5%)

The 15-minute rule: Leaving just 15 minutes earlier cuts your delay risk by 50%.

Evening Commute Analysis#

1Leave Time    From Office       Avg Delay    Risk Level
2─────────────────────────────────────────────────────────
35:00pm        Peak traffic      5.2 min      HIGH (55%)
45:30pm        Still bad         4.8 min      HIGH (50%)
56:00pm        Improving         3.5 min      MEDIUM (35%)
66:30pm        Much better       1.8 min      LOW (15%)
77:00pm        Clear roads       1.0 min      VERY LOW (8%)

The 6:30pm sweet spot: Leaving 90 minutes after peak reduces delays by 65%.

Seasonal and Special Patterns#

School Term Effect#

During school term (September-June):

• Morning delays +25% (school runs)
• Routes near schools worst affected
• 2:30-3:30pm sees secondary spike

Event Days#

Major events at the Aviva/Croke Park:

• Nearby routes can see 200%+ normal delays
• Effect starts 2 hours before, lasts 1 hour after
• Plan alternative routes on match days

Practical Recommendations#

For Morning Commuters#

| If you must arrive by... | Leave no later than... | Buffer | |--------------------------|------------------------|--------| | 9:00am | 7:45am | +45 min | | 9:30am | 8:15am | +30 min | | 10:00am | 9:00am | +15 min |

For Evening Commuters#

| If you want to leave at... | Expect to arrive... | Alternative | |----------------------------|---------------------|-------------| | 5:00pm | +20-25 min late | Wait until 6:30pm | | 6:00pm | +10-15 min late | Walk to next stop | | 7:00pm | +5 min late | Should be fine |

For Flexibility Seekers#

If your job allows flexible hours:

• Best strategy: 7am-3pm shift (miss both peaks)
• Second best: 10am-6pm shift (miss morning, leave after evening peak)
• Avoid: 9am-5pm traditional hours (hit both peaks)

The Cost of Rush Hour#

Let's quantify the time cost over a year:

1Commuter A: Travels at peak times (8:30am, 5:00pm)
2Daily delay: ~10 minutes
3Weekly: 50 minutes
4Annual: 43 hours lost to delays
5 
6Commuter B: Travels off-peak (7:30am, 6:30pm)
7Daily delay: ~3 minutes
8Weekly: 15 minutes
9Annual: 13 hours lost to delays
10 
11Difference: 30 hours per year

That's almost 4 working days per year spent waiting for delayed buses.

Methodology#

Data Collection#

• GTFS-RT API via Transport for Ireland
• 30-second polling intervals
• Multiple collection windows

Analysis#

• Aggregated by hour and day of week
• Weighted by sample size
• Outliers (over 30 min) excluded as likely data errors

Limitations#

• Short collection period
• No holiday data
• Weather not correlated (surprisingly)

Conclusion#

The data is clear: when you travel matters as much as how you travel.

Key takeaways:

1. Avoid 8-9am and 5-6pm - Delays are 3-4x higher than off-peak
2. Monday is worst - 40% more delays than average
3. 15 minutes earlier = 50% less risk - Small schedule changes have big impact
4. Weekends are golden - 60% fewer delays than weekdays

Armed with this data, you can make informed decisions about your commute. Sometimes the best transit hack isn't a new app—it's just knowing when to leave.

For the full analysis and code, visit my Dublin Bus Pipeline project.