Improving data quality for regional traffic information and management

Improving data

quality for regional

traffic information

and management

Authors:

Leon Deckers, DTV Consultants

Lieke Berghout, Province South-Holland

Province of South-Holland

National road authority (RWS)

The Hague & Rotterdam

Collaboration

Rijkswaterstaat

Province South-Holland

The Hague

Rotterdam

Regional desk

How long is it going to take?

Daily congestion: ‘just’ calculate

How long is it going to take?

Extreme situations: just take a guess

How long is it going to take?

Accidents: expert judgement

Accident Information

The accident

• Where,

• What happened, how many vehicles…

Capacity drop

• How many lanes are closed

Traffic management measures

• VMS’s show alternative routes

• Longer green times at Traffic lights

Remaining accident duration

• How long will it take until the lanes are cleared

Accident Information gathering

The accident

• Traffic info viewers,

• Road inspectors, camera’s, emergency services

Capacity drop

• Road inspectors, camera’s

Traffic management measures

• Traffic operator

• Traffic management systems

Remaining accident duration

• Road inspectors (and camera’s)

Traffic Information Chain

Problems

• Info from sources is not consistent

• A growing amount of noise (eg. Retweets, #A4)

• Too little camera’s and too few road inspectors to

monitor the whole road network

• It takes a long time to obtain the available Emergency

services information (other priorities)

• Human judgement needed for remaining accident

duration: more input means less focus

How to solve them

Improving input data:

• Focus on traffic related input: more Waze, less Twitter

• Better and faster info from road inspectors (ipad)

• Better and faster info from emergency services

(automation)

• eCall (but… no info about blown tires etc.)

• Info from service providers

• (More) Info from local traffic management centres

Traffic Information Chain

Currently works

Adding Decision Support:

• Test with traffic state prediction to determine impact

• How busy are (all) the roads

• How much capacity is ‘lost’

• How long until all lanes become available again?

• To determine when to advise road users to take another

route, or to stop taking them.

• Currently being configured (user interface), operational

begin 2016.

Thank you

For your attention

Leon Deckers

l.deckers@dtvconsultants.nl

+316 303 700 24