Symposium CHALLENGES IN URBAN MOBILITY - CIT UPCcit.upc.edu/symposium2015/PDF/Barcelona_URBAN_Hoffmann...2015/11/09 · • Energy efficiency should be improved in future vehicle

Symposium

CHALLENGES IN URBAN MOBILITY

The German cooperative project UR:BAN: Components for future urban mobility!?

Dr. Stephan Hoffmann, TU Braunschweig

Barcelona, 16.11.15 | Symposium CHALLENGES IN URBAN MOBILITY | Page 2

Institute of Transportation and Urban Engineering –

Team

Univ.-Prof. Dr.-Ing.

Bernhard Friedrich

Dr.-Ing.

Stephan Hoffmann

Dipl.-Ing. Rainer Feiertag

Dipl.-Ing.

Ralf Kutzner

Dr.-Ing.

Frank Schröter

Qinrui Tang

M. Sc.

Aleksandar Trifunović

M.Sc.

Mirko Barthauer

M. Sc.

Steffen Axer

M. Sc.

Federico Pascucci

M. Sc.

Andrea Thiele M. A.

Sebastian Vogt

M. Sc.

University professor Chief engineer

Scientific staff



Field of work

Traffic engineering and traffic management

Traffic flow theory

Macroscopic and microsopic traffic flow models –

simulation

Optimization of traffic signal control, progressive

signal system

Traffic management

Capacity analysis

Traffic safety analysis

Transport planning and transport modeling

Key quantities of mobility and transport

Transport planning methodology

Instruments of transport planning

Transport planning models

Network planning

Transport development planning

Environmental protection

Investigation of traffic related environmental impacts

Analysis of environmental sustainability

Interaction between environmental goods

Urban and regional planning

Land use planning

Urban master plans

Urban land use planning with respect to

environmental aspects

Urban development and

urban road design

Historical development of urban planning

Urban and transport planning

Design of public space



Technical equipment



Actual projects (selection)













http://urban-online.org/de/urban.html


Partners in UR:BAN

Source: UR:BAN


Retrospective

Source: UR:BAN


Motivation and Challenges

• Mobility remains important

• Solutions need to be sustainable

• High demands on mobility in urban areas

• Increasing safety standards in urban traffic (not just on freeways)

• Assistance functionalities should be linked and coordinated

• More intelligent traffic infrastructure needs to be deployed

• Energy efficiency should be improved in future vehicle & infrastructure design

• The driver should be supported according to the demands of city traffic


The three main UR:BAN thematic target areas

Cognitive Assistance Networked Traffic System Human Factors in Traffic

Source: UR:BAN




Source: UR:BAN


„Cognitive Assistance“

City Safety

Effectiveness,Assessment and Legal issues

Measurement and Modeling of the Environment

Protection of Vulnerable Road Users

Forward-looking assistance systems for effective protection of pedestrians and cyclists.

Collision Avoidance by Swerving and Braking

Assistance systems that perform collision avoidance maneuvers.

Safe Lateral and Longitudinal Guidance in Urban Traffic

Timely information on available side clearance, lateral and longitudinal controller support.

Source: UR:BAN




Source: UR:BAN


„Networked Traffic System“

Economic and energy efficient driving

Cooperative Infrastructure

Regional Network• Optimized routing strategies according to vehicle energy source.

Strategic routing> 5km

Urban Roads • Electronic horizon, energy and traffic optimized driving, minimized queuing time at red lights.

Anticipatory driving< 5km

Smart Intersection • Energy and traffic-optimized tactics for waiting and accelerating.

Tactical driving< 1km

Source: UR:BAN




Source: UR:BAN


„Human Factors in Traffic“

Anticipatory and stress-free driving

Urban Driving

Human-Machine Interaction for Urban environments

HMI Toolkit: human-machine interfaces integrating multiple functionalities.HMI solutions for information and assistance.Evaluation of HMI concepts for the driver.

Behavior Prediction and Intention Detection

Driver intention at maneuver and navigation levels.Situation dependent prediction of driver behavior.Integration in “cognitive assistance” applications.

SimulationSimulator coupling and experiments.Behavior models for Interactions and Traffic.

Controllability

Driver behavior at system limits.Method toolkits and improved controllability.Verification of UR:BAN functionalities and recommendations.

Source: UR:BAN


Source: UR:BAN


„Networked Traffic System“

Sub-project „Smart Intersection“

• The sub-project “Smart intersection” addresses the area near urban intersections

• Improvement of sub-optimal traffic by information, communication, cooperation and driver assistance.

„Better stopping“ and „better waiting“Driving tactics for long red phases and extended start-stop

„Better entrance to intersections“Optimizes entrance to an intersection/

adaption of driving to signal coordination

„Better decision support“Traffic horizon for local traffic state and turning restrictions

„Better starting“Increased alertness and automatic starting

„Better stopping“ and „better waiting“Proactive following by situation adaptive starting strategy

Source: UR:BAN



Micro-traffic state and local routing

UR:BAN RSU

Senden

Empfangen

Detector dataTraffic light data

Traffic state estimation and prediction Macroscopic traffic

model (CTM)

Real traffic

Traffic state messages (DEN, ASD)

Traffic parameters (jam, delay)

• Spatiotemporal prediction of the traffic state

• Input: detector and traffic light data → output: jam length and expected delay on the approach lanes

• Use for local routing and optimized approach

Source: UR:BAN


UR:BAN RSU

Senden

Empfangen


Cooperative public transport preemption

• Arrival prediction and tracking of public transport vehicles using V2I communication

• Adaptive traffic signal control

• Prediction of waiting times for public transport vehicles and other traffic participants

• Select optimal traffic signal phase timing based on multiple criteria

• Broadcast information about the effective signal program

Source: UR:BAN


The German cooperative project UR:BAN:

Components for future urban mobility!?

Main/overall objective:

Developing, testing and evaluating driver assistance

systems and traffic management systems for cities,

Focus on:

Applications and strategies for safe, economic, energy

and stress-free driving.


Future urban mobility?

The new universe (Bürgle, 1965)

Sourc

e:

Das N

eue U

niv

ers

um

, K

laus B

ürg

le,

1955



Self-driving car on superhighway (Radtke, 1975)

Sourc

e:

self-d

rivin

g c

ars

on a

superh

ighw

ay,

by G

ünte

r R

adtk

e,

1974



(by arup, 2015)



(by google: November 2015)



(by kapsch group, 2015)S

ourc

e:

kapsch


Institute of Transportation and Urban Engineering

Contact:

Dr.-Ing. Stephan Hoffmann

[email protected]

+49 531 391 66802

https://www.tu-braunschweig.de/ivs

mailto:[email protected]

Documents

Symposium CHALLENGES IN URBAN MOBILITY - CIT UPCcit.upc.edu/symposium2015/PDF/Barcelona_URBAN_Hoffmann...2015/11/09 · • Energy efficiency should be improved in future vehicle