• Keine Ergebnisse gefunden

Increasing the capacity of traffic networks with connected/autonomous vehicles: Workshop

N/A
N/A
Protected

Academic year: 2022

Aktie "Increasing the capacity of traffic networks with connected/autonomous vehicles: Workshop"

Copied!
36
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Research Collection

Presentation

Increasing the capacity of traffic networks with connected/

autonomous vehicles Workshop

Author(s):

Kouvelas, Anastasios Publication Date:

2019-07-29 Permanent Link:

https://doi.org/10.3929/ethz-b-000357594

Rights / License:

In Copyright - Non-Commercial Use Permitted

(2)

Dr. Anastasios Kouvelas

Traffic management in the era of connected and autonomous mobility IVT – Institut für Verkehrsplanung und Transportsysteme

Increasing the capacity of traffic networks

with connected/autonomous vehicles

(3)

Agenda

 Traffic flow theory 101

 Traffic management

• Why capacity is important?

 Case studies

• Highway mainline control

• Ramp metering

• Variable speed limits (VSL)

• Urban traffic signal control

 Implications of connected and autonomous vehicles

(4)

Different scales of traffic modeling

(5)

Traffic flow as a fluid (or not?)

Traffic flow on roads has some similarities to

(6)

Macroscopic modeling

mathematical abstraction Macroscopic traffic variables:

• traffic density ρ(x, t) in veh/km

• traffic volume q(x, t) in veh/h

• mean speed v(x, t) in km/h

(7)

Analogy to fluids: LWR theory

(8)

Traffic network: Demand-Supply system

Maximize Supply  Minimize Delays

(9)

Capacity drop!

FD of a merging area

(10)

Case study: Bay Bridge, Bay Area

(11)

Bay bridge toll plaza set-up

(12)

Simulation replication (NC)

Papageorgiou, M., et al., 2008. Real-time merging traffic control with applications to toll plaza and work

zone management. Transportation Research Part C, 16 (5).

(13)

Simulation replication (metering)

(14)

Can we achieve the same result with VSL?

No Control

VSL

(15)

Evacuation of SF by using the bridges

The bridges can serve 40’000 veh/h.

How much time does it take to evacuate

120’000 veh?

Can I do it in 3 hours?

(16)

Ramp metering

(17)

Ramp metering and capacity

(18)

Coordinated VSL and ramp metering control

(19)

Controlling the traffic lights of a city

(20)

Traffic Management Center (TMC)

(21)

Single region control (gating)

(22)

Case study: Chania network, Greece

(23)

Extension to multiple regions

(24)

Multivariable PI regulator

(25)

Simulation scenario for Barcelona

(26)

One day of taxi data, San Francisco

(27)

Emerging Technologies

(28)

City of Zurich: Roadmap V2X-Pilot

(29)

EU Telecommunications Standards Institute

(30)

Car sharing market growth

(31)

Levels of automation

(32)

Autonomous vehicles

(33)

Road signs already exist in many countries

(34)

Intermediate state: Mixed traffic

(35)

Autonomous mobility and traffic as a fluid

 Capacity

 Anisotropy

• Does traffic only propagate backwards?

 Safety

• Protected environments

• Mixed traffic

• Dedicated lanes

 Traffic flow as an artificial fluid

• Connectivity and cooperation

(36)

anastasios.kouvelas@ivt.baug.ethz.ch

Questions and discussion!

Referenzen

ÄHNLICHE DOKUMENTE

This paper presents an approach based on image processing using edge distribu- tion function and Hough transform for lane detection and tracking, steer angle estimation and

For the future, therefore, we may visualise mathematical models and on-line forecasting procedures as a kind of support service for day- to-day operational management of

Fig. 4 shows the running time of all systems for the same graphs. OpenTM selects the last node of a flow to report the flow statistics. Thus, its running time is constant and close

Ziel von TRAFFIC ist es, sicherzustellen, dass der Handel mit wild lebenden Tier- und Pflanzenarten und deren Produkten nur in nachhaltiger Weise geschieht,

We introduced Time-sensitive Software-dened Network (TSSDN), an SDN based architecture, for handling time-triggered trac using commodity SDN switches, i.e., the transmission

To scan the search space, a genetic al- gorithm (GA) is used which generates new rules by combining existing ones and changing parts of them with a certain probability

The text says: “‘When you organize transportation, you have to think about the people, not about the cars,’ says Karl Fjellstrom, the regional director at the Institute

• Job Design / Labor Organisation / Work Models / «Career» Concepts. copyright by Gery Bruederlin