Cooperative vehicle automation: The soft sides and the hard constraints

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Challenge the future

Cooperative Vehicle Automation- the soft sides and hard constraints DITCM symposium Smart Mobility on the Road, Helmond, 30 March 2015

Cooperative Vehicle Automation: the soft

sides and the hard constraints

Prof Dr Bart van Arem

Director TU Delft Transport Institute

Cooperative Vehicle Automation- the soft sides and hard constraints

Dutch society and economy depend on

transport

Port of Rotterdam

Schiphol airport

Dense road network

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Rijnwoude 1998

AGVs Port of

Rotterdam 1993

Parkshuttle Rivium,

1999

IEEE IV 2008, Eindhoven

Grand cooperative driving

_{challenge, Helmond 2011}

Innovation relay 2013

Self driving cars can improve

traffic efficiency and safety

Netherlands to facilitate large

scale testing of self driving

vehicles

Dutch minister of

Infrastructure & Environment

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Wilmink and Schuurman (2014)

Cooperative

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Milanes et al, 2104

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Potential impacts on traffic

Prevent traffic jams

by better stability

Solve traffic jams by

increased outflow

Better distribution of

traffic over network

Less congestion

delay

Decreased

throughput by larger

headways

Decreased stability

by lack of anticipation

Increased risk of

congestion

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A20: bottleneck motorway, no

more space to expand

3+2 cross weaving

Short on-ramp

How can AVs relieve

congestion here?

Implications of automated driving

(Milakis, van Arem, & van Wee, 2015; work in progress)

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Development of automated vehicles in the Netherlands:

scenarios for 2030 and 2050

(Milakis, Schnelder, van Arem, van Wee, & Correia, 2015; work in progress)

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Implications of AVs for National

Transport Model

• Updated every 2 year to identify main transport problems

• Used to support major transport infrastructure decisions

• Typical horizon 20 years

• What if AVs could deliver substantial capacity improvement in 20

years?

• Approach

• Literature study on potential roadway capaciities and value of time

• Sensitivity analyses

• Research plan

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Trajectory predication

Cooperative control

Traffic management

Driver monitoring

Failure modes

Weather conditions

Energy

Cost

The soft sides and hard

constraints

Cooperative technology leverages automation

Real congestion bottlenecks are major

challenges

Societal and economic implications potentially

large

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