Title: Volvo Summer Workshop Track 2: Urban Transportation Physics
1Volvo Summer Workshop Track 2 Urban
Transportation Physics
2Outline
- Focus
- Mass motions in cities
- How things work?
- New technologies
- New policies
- Projects
- BLIPS
- Green Logistics
- Gridlock
- Self synchronizing buses
- Evacuation
- Safety
3BLIP Concept
- Right lane reserved for bus but open to traffic
when bus is not near by, like IBL. - CMS and in-pavement lights dynamically restrict
and allow access to lane. - One CMS per block
- Rules of the road Drivers bound by CMS message
until next CMS is reached.
Eichler and Daganzo, 2005, Bus Lanes with
Intermittent Priority Assessment and Design
4Complexity Fades Away
Results do not rely on particulars of how the
cocoon is achieved.
One example of cocoon formation.
5Green Logistics Implemented schemes
Category Implemented Policy
Restriction zones 1. Copenhagen - City Goods Ordinance for capacity management
Restriction zones 2.Sweden - Environmental Zones
Restriction zones 3. UK - Low Emission Zones
Restriction zones 4. Brussels Lorry dedicated routes
Clean vehicles 5. Rotterdam - Electric Vehicle City Distribution System
Clean vehicles 6. Osaka - Electric Vans
Clean vehicles 7. Zurich-Cargo Tram
Coordinated transport 8. Berlin - Goods Traffic Platform (Public Private Partnership)
Coordinated transport 9. Stockholm - logistical centre for coordinated transports
Congestion mitigation 10. Barcelona - Multiple Use Lanes on line parking information
Congestion mitigation 11. Paris, Barcelona, Rome - Night delivery schemes
Charging 12. London Congestion Charging
Charging 13. Germany - Truck Toll System
Information systems 14. New York and Vancouver - Internet Port Information Systems
Information systems 15. Tokyo Advanced Information Systems
Water use 16. Amsterdam - Floating Distribution Centre
Water use 17. Venice - Waterborne traffic management decision support system
Geroliminis and Daganzo (2005), A review of green
logistics schemes used in cities around the world
6Water use - Coordinated transport
- A DHL-boat sails through the canals and serves as
base-centre for bicycle-couriers
- reduction of 150.000 van-km / year
- TOTAL COST 7,000
Amsterdam - Floating Distribution Centre
7Clean vehicles
combining an efficient goods distribution concept
with the environmental impact of electric vehicle
transport
Rotterdam - ELectric vehicle CIty DIstribution
System
- hybrid (clean and quiet) and energy efficient
electric vehicles - urban distribution centre (UDC)
- large trucks for long-distance transport to and
from the UDC and of vans and small trucks for the
centre.
Total Cost 1.2 million EURO
8Conclusions
- Promising city logistics schemes with green
characteristics - Largest and fastest growing cities in the
developing world ABSENT - Schemes can be combined, adapted and modified to
be of use (HOW? Research is necessary)
9Gridlock In Cities
10Self-Stabilizing Bus Routes
11Statement of Problem
- Two parts of travel time
- Time to travel between stops
- Time to pick up and drop off passengers
- Bus routes by their very nature are unstable
- Demand is stochastic
- Small variation in demand can create large
instability over time without control - Queue proportional to headway
- Increased demand? Slows bus? Larger headway?
Increased demand - Decreased demand? Speeds up bus? Smaller headway?
Decreased demand - Buses eventually come together and act as a
single unit
12Sustainability
- Attracting Ridership
- Minimum ridership needed to derive environmental
benefits - Ridership from necessity as opposed to desire
- Spare-the-Air days
- Inherent Instability
- Routes with smaller headways are more unstable
- Smaller headways comes from higher use
- Equity
- Bus vs. Rail
13Control Methods
- Station Control
- Holding
- Station Skipping
- Interstation Control
- Speed Control
- Traffic Signal Preemption
- Other
- Adding/Removing Vehicles
- Early Turns
14Existing Controls
- Instability still exists
- Not many controls to alleviate this
- Establish slack time
- Estimate delays on route and add a fixed amount
to the expected trip time - Control points
- Determine certain stops as control points
- If a bus arrives at a control point ahead of
schedule it waits there
15Existing Controls
- Expand on the idea of control points
- By increasing the number of control points errors
have less time to propagate - Control points require slack time built into the
schedule - A bus behind schedule cannot make up lost time
easily - Passengers dont like sitting on the side of the
road - Station Control ? Interstation Control
- Continuous control points become speed control
16Speed Control
- Dynamic stabilization
- AVL allows buses to continually locate adjacent
buses - Replace slack time with a lower cruising velocity
- Allows buses to speed up to make up lost time
- Buses can slow down if they get too far ahead
- Trade off travel time for stability
- Lower average velocity (maybe) but lower variance
- Users have a higher cost for waiting time than
for travel time
17Possible Methods of Stabilization
- Spring based stabilization
- Springs connecting adjacent buses
- k spring constant
- force based on spacing or headway
- F k(hi hi1)
- v vt k Dt hi k Dt hi1
- Unscheduled stabilized headways
18Model Description
- State Space
- yi(t) - spacing
- hi(t) - headway
- Variables
- l - demand
- b - loss time per pax
- vt - target speed
- Evi(t) vt/(1vtlbhi(t))
- Control vt replaced by vi(hi(t),hi1(t),
yi(t),yi1(t))
19Testing the Model
- Simulation
- Simple simulation
- Moves buses according to calculated velocity
- Picks up and drops off pax
- Real Data
- Faux bus route with students as bus drivers
- Real bus route in Gothenburg, Sweden
20Future Work
- Additional areas of analysis and development
- Traffic
- Bus velocity constrained by traffic
- Parallel Bus routes
- Model interaction between overlapping routes?
- Create platoons?
- TSP/stoplights
- Handicap passengers
21Logistics of City Evacuation
- Volvo Summer Workshop
- July 24, 2006
- Stella So
22Immobile Car-less Challenged Car-owners
New Orleans, LA
3 weeks later
Houston, TX
23Minimize evacuation time
- Increase capacity
- Contra flow
- Alternate routes
- Bottleneck clearance
- Manage demand
- Multi-modal
- ? pax per car
- ? shadow evacuation
24Houston a disaster for car-owners
A Cut-Set Analysis
19 h
23 h
8 h
6 h
25We couldve done MUCH better!
26Road User Adaptation to Road Safety Measures
- Presented by
- Offer Grembek
27Road Safety and Road Safety Measures
Generic risk factors Physical / Behavioral
No Danger
Danger
Road Safety
28Road Safety and Road Safety Measures
Road Safety Measures (RSM)
Generic risk factors Physical / Behavioral
Engineered effect
No Danger
Danger
Road Safety
29Road Safety and Road Safety Measures
Road Safety Measures (RSM)
Generic risk factors Physical / Behavioral
Engineered effect
Behavioral adaptation
No Danger
Danger
Road Safety
30Behavioral Adaptation
- What is behavioral adaptation
- Seatbelts
- All-red interval
- Current theories about behavioral adaptation
- Risk compensation theories (Wilde)
- Potential Benefits
- Road safety measures design and evaluation
- Academic
31Research Question
- Is the effectiveness of RSM influenced by an
- identifiable road-user behavioral adaptation?
- Are there specific types of RSM that generate
behavioral adaptation? - Are there specific conditions that generate
behavioral adaptation? - Do these behavioral adaptations have a
significant impact on the effectiveness of RSM? - How does the impact of these behavioral
adaptations change over time?
32Road Safety and Behavioral Adaptation
- Inconsistencies in RSM and behavioral adaptation
- Mandatory seat-belts
- Center high mounted stoplights
- Setbacks of using RSM studies
- Statistical validity (confounding,
regression-to-the-mean) - Insufficient data
33The Potential of a Different Approach
- Industrial safety and security
- Detailed longitudinal data
- Immediate consequences
- Tradeoff between safety and productivity
- Epidemiology
- Heterogeneous study population
- No visible benefits of compliance
- Non-compliance due to thrill (safe-sex)
- Portfolio theory
- Human behavior under risk
34Future Work
35Future Work Data Needs
36Transit/City Structure
Buses - Small
37Transit/City Structure
Buses - Medium
38Transit/City Structure
Rail - Small
39Transit/City Structure
Rail - Large