Urban Mobility: The Future is Now Nick Cohn
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1 Urban Mobility: The Future is Now Nick Cohn
2 Road vehicle traffic is the largest source of GHG in many countries Drivers lose several workdays per year in equivalent travel time delays due to traffic One third of road accidents in Europe are related to rearend collisions at the back end of traffic jams High economic costs of environmental damage, lost time and injury
3 But now we have Big Data
4 Our Big Data looks more like this
5 And we know how to use it Traffic Index Real-Time traffic Traffic Management 2.0 Jam tail warnings Planning, investment decisions, traveler awareness Individual travel time and fuel savings Travel time and fuel savings for all Accident prevention Automated driving All of the above
6 Big Data: TomTom Traffic Index
7 Big Data: TomTom Traffic Index
8 Traffic Index Why and for whom? Encourage travelers to make smarter decisions using modern technology and information sources Help the public understand they should not expect cities to build their way out of congestion Help authorities identify and diagnose trouble spots in the network and make more informed investment decisions
9 Big Data: TomTom Traffic Index UN Habitat Partnership Barcelona, 29 November 2013 TomTom (TOM2) today announced a partnership with UN- Habitat, the United Nations Human Settlements Programme. TomTom s global Traffic Index data will be used by UN-Habitat and its stakeholders around the world to make strategic decisions when tackling urban congestion. Urban areas are growing fast; they are now home to half of the world s population and are predicted to reach 6 billion by How we plan and manage our cities in terms of basic services, mobility or connectivity is going to be essential to ensure better cities. TomTom s data will give us vital insight, providing a more accurate analysis of urban traffic congestion. This will help policy makers and local governments develop sustainable, workable and lasting urban solutions, said Dr. Joan Clos, United Nations Under-Secretary-General and UN-Habitat Executive Director.
10 Benefits of Navigation Safety: fewer accidents, calmer driving style Travel Time Savings: 5-15% depending on local conditions Fuel Savings: 5-15% due to reduction in distance driven, avoidance of slow and congested routes; up to 50% for commercial fleet vehicles with driver feedback Greenhouse Gas Emissions: 5-15%, up to 33% for commercial fleet vehicles with driver feedback And, with Real-time information, Better Overall Travel Decisions (decision to travel, departure time choice, mode choice, route choice)
11 Creating Traffic Information Range of high-quality real-time data sources
12 TomTom Traffic
13 Car-centric Route Guidance Benefits for ALL 10% 10% 13 Source: F. Leurent, T. Nguyen, TRB 2010.
14 Traffic Management: Traditional Situation Road owners VS service providers 14
15 Traffic Management 2.0 Road owners & service providers 15
16 Better Choices
17 Jam Ahead Warning Detection of jam tails for a safety warning in the navigation unit Over 35% of drivers have admitted to experiencing an accident caused by sudden or unexpected traffic holdups Jam ahead warning messages in traffic output can be used to create these safety messages with great accuracy TomTom. All Rights Reserved. Confidential Information.
18 Map and Traffic Data in Vehicle Automation Looking farther ahead in distance and time Car Sensor Range Car Sensor Applications Adaptive Cruise Control Blind-Spot Detection Lane-Change Assistance Cross-Traffic Alert Lane-Departure Warning Self-Parking Collision Avoidance Overtaking Assistance BMW, Mini, Rolls-Royce and Continental.
19 Map and Traffic Data in Vehicle Automation Looking farther ahead in distance and time Car Sensor Range Base-Map Applications Car Sensor Applications Adaptive Cruise Control Blind-Spot Detection Lane-Change Assistance Cross-Traffic Alert Lane-Departure Warning Self-Parking Collision Avoidance Overtaking Assistance Base-Map Applications Adaptive Cruise Control Predictive Powertrain Curve Control Curve Warning Overtaking assistance Intersection Warnings BMW, Mini, Rolls-Royce and Continental.
20 Map and Traffic Data in Vehicle Automation Looking farther ahead in distance and time Car Sensor Range Base-Map Applications Real-Time/V2V Services Car Sensor Applications Adaptive Cruise Control Blind-Spot Detection Lane-Change Assistance Cross-Traffic Alert Lane-Departure Warning Self-Parking Collision Avoidance Overtaking Assistance Base-Map Applications Adaptive Cruise Control Predictive Powertrain Curve Control Curve Warning Overtaking assistance Intersection Warnings Real-Time/V2V Entire route Real-time map changes Jam-tail warnings Road conditions Weather conditions Dynamic re-routing BMW, Mini, Rolls-Royce and Continental.
21
22 Automated Driving and Urban Mobility Better use of urban space Cut down parking search traffic Improve safety/fewer accidents Reduce GHG and fuel use Sleeping on the way to work Automated delivery systems Automated taxis (real PRT) But: Carnegie Mellon University Increase in commuting trip lengths Increase in car use Increase in car mode share Congestion not eliminated
The TomTom Manifesto Reducing Congestion for All Big traffic data for smart mobility, traffic planning and traffic management
The TomTom Manifesto Reducing Congestion for All Big traffic data for smart mobility, traffic planning and traffic management Ralf-Peter Schäfer Fellow & VP Traffic and Travel Information Product Unit
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