TomTom Smart Mobility Proposition - City of Moscow Ralf-Peter Schäfer

VP Traffic and Travel Information

Moscow Urban Forum, June 30, 2016

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Congestion is a big economic cost for society

2

Congestion up by 13% globally since 2008

SOURCE: FinancesOnline, 2014

Mexico City

Moscow City

TomTom Congestion Index Ranking

http://www.tomtom.com/trafficindex

Congestion in Moscow has been reduced

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A reduction of 13% since its peak in 2012

Moscow wins international transport award for tackling

traffic gridlock

Moscow improved from rank #1 to #5 in TomTom´s Traffic Index

TomTom offers a wide range of toolset for city management

Monitor (Sense)

TomTom Traffic

TomTom Traffic Flow and Incidents

Real-Time Dashboard

Jam Tail

Warnings

Identify (Process)

Delay hotspots

Potential Accident

Blackspots

Critical

Routes

Parking hotspots

Analyze (Analyze)

Junction analysis

Custom Area Analysis

Custom Travel Times

Traffic

Demand

Influence (Plan)

Incident Moderation tool

Event Management

Strategic routes

Parking Routes

Inform (Influence)

Custom Traffic Monitoring

Indash / Smartphone /

PNDs

Media (Radio/TV/Web)

VMS

TomTom City gives immediate insight into the traffic situation

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TomTom City Portal

http://city.tomtom.com

TomTom Traffic

TomTom Traffic Flow Delay

hotspots

Route Analytics Moscow Road Arterial (2014 vs 2016)

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Route Date Range Time Set

Median Travel

Time [hh:mm:ss]

Average

Speed [kph]

Moscow Arterial Q1 2014 Night 00:27:49 62.47

Moscow Arterial Q1 2014 AM Rush 01:00:37 28.96

Moscow Arterial Q1 2014 Noon 00:38:14 39.74

Moscow Arterial Q1 2014 PM Rush 00:37:22 42.85

Q1 2014

Q1 2016

Route Date Range Time Set

Median Travel

Time [hh:mm:ss]

Average

Speed

[kph]

Moscow Arterial Q1 2016 Night 00:27:35 60.19

Moscow Arterial Q1 2016 AM Rush 00:36:31 38.69

Moscow Arterial Q1 2016 Noon 00:33:21 44.05

Moscow Arterial Q1 2016 PM Rush 00:31:13 49.11

Custom Travel Times

Selected link: links to links Selected link: zones to zones

A B

A 30 5

B 10 20

OD Matrix

Traffic Demand and Flow Analysis (Origin Destination)

Route choice

Traffic

Demand

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Key Recommendations

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Key Recommendations

1. Using big data analytics in your Smart City Project Management

2. Keep expenditure low by combining existing sensing infrastructure with GPS-based information

3. Analyze and influence changes in demand and modal split

4. Encourage multi-modal travelling

5. Continuously communicate the impact of congestion on the traffic situation to citizens & business

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