L6: Transportation in Smart Cities Flashcards
(23 cards)
City transport electrification
o Public charging stations
o Affordable electric fuel costs
o Integrate electric vehicles into the grid
o Support EV adoption
o Support autonomous vehicles and electrification!
o Electrify public fleets
o Provide consumer incentives / rebates
EV adpotion challenges
- limited driving range and associated anxiety
- long charging times
- non ubiquity of charging station
EV adoption opportunities
- Optimized charging and battery consumption prediction
- EV status tracking
- Desicion support for grid operation
Edmonton Case study projects
- smart street lights
- curbside ev chargng pilot
- autonomous vehicle pilot project
- drive variabe speed pilot study
- active aurora: first connected vehicle test bed network
Google Driverless car
s
The Future Maas
Mobility as a Service
- integrating various forms of transportation services into a single mobility service accessible on demmand
- Integrates transport services, info, payment and ticketing
4 pillars of autonomous driving
o Localization and map building
o Path planning and decision making
o Motion control
o Environment perception and modelling
- Autonomous driving key technologies
o Multi sensor fusion-based environment perception and modelling
o Vehicle localization and map building
o Path planning and decision making
o Low level motion control
- Autonomous Driving and Smart Vehicle
o Self driving cans that combine a variety of sensors to perceive their surrounding:
Radar
LiDAR
Sonar
GPS, odometry, and inertial measurement units
- Smart Traffic Management
o Detectors and sensors: need upstream data
o Centralized computer system: analyze data and mange traffic signal controllers at intersections
o Comm network: must be reliable,
o Compatible traffic signal controllers: must replace or retrofit the traffic controller to accommodate the smart traffic signal system
- Libelium Smart Parking
o 2 different detection systems: radar and magnetic, 99% accurate
o Wireless comm protocol: LoRaWAN
o Triple installation deployment
- Probe Vehicles
o Hazard light alert and slippery road alert (Volvo)
o If the car detects a slick patch of road it will send data to other cars
- Roadside camera recognition
o Helps traffic flow and safety.
o Vehicle ID
o Speed measurements
o Detection of traffic violations
o ANPR / LPR / ALPR
- Dedicated Short Range Comms (DSRC)
o 802.11p-based wireless comms tech
o Highly secure, high speed, direct comms
o 5.9 GHz band, direct low energy, low latency
o V2V and V2I
- GPS segments
1) space segment:
* 24 operating satellites transmitting one-way signals that give the current GPS satellite portion
2) control segment
* A global network of ground facilities that track GPS satellites, perform analyses, and send commands
3) user segment
- GPS:
o US owned utility that provides users with positioning, navigation, and timing services
- Toyota Intelligent Transport system
o Environmentally safe intelligent transport that encompasses people environment and transport
o Using an ITS proving ground to test interactions controlled using 700Mhz signals and the “safe driving support system”
Connected Vehicle technology types
o Vehicle to vehicle, Vehicle to Infrastructure, Vehicle to everything
Smart transportation major components?
- Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications
- Global positioning systems
- Dedicated short range communications
- Mobile telephony, e.g., 3G, 4G, 5G, LTE, etc.
- Roadside camera recognition
- Probe vehicles or devices
What is smart / intelligent transportation?
an advanced application which aims to provide innovative services relating to different modes of transport and traffic management and enable users to be better informed and make safer, more coordinated, and ‘smarter ’ use of transport networks.
What are the long term issues and challenges for smart transportation?
- high traffic density
- long transportation times and high costs
- high carbon dioxide emissions
- expanded suply chains
- information safety and privacy
- coordination, easy access and universality
- funding for ITS projects
- rebuild road network: upgrade the existing infrastructure
- training ITS workforce
ADAS
Advanced driver assistance systems
- - information based assistance systems: innatention alert, driver performance, traveller info
- manipulation based assistance systems: operate in case of emergency or when asked by the driver
4 key tech for autonomous driving
- multi sensor fusion based environment perception and modelng
- vehicle localization and map building
- path planning and desicion making
- low level motion control
