http://iet.metastore.ingenta.com
1887

Mobility-on-demand using autonomous vehicles: systems, solutions and challenges

Mobility-on-demand using autonomous vehicles: systems, solutions and challenges

For access to this article, please select a purchase option:

Buy chapter PDF
$16.00
(plus tax if applicable)
Buy Knowledge Pack
10 chapters for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Cooperative Intelligent Transport Systems: Towards high-level automated driving — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Autonomous Vehicles (AVs) are becoming prevalent in our society, from self-driving cars and autonomous shuttle buses on urban roads to delivery robots on the pavements and within buildings. These emerging applications have generated a huge interest in the concept of Mobility-on-Demand (MoD) and specifically, Autonomous MoD (AMoD). In this work, we highlight the initiatives of the Singapore-MIT Alliance for Research and Technology (SMART) in the area of AMoD. We discuss the fundamental building blocks of AMoD systems, the solutions and algorithms that we have developed and successfully deployed for public trials since late 2014, and the challenges that we have encountered during the process.

Chapter Contents:

  • 25.1 Introduction
  • 25.2 Perception
  • 25.2.1 Mapping and localization
  • 25.2.2 Semantic mapping for high-level reasoning
  • 25.2.3 Static and dynamic object detection
  • 25.2.3.1 Road marking detection
  • 25.2.3.2 Vehicle and pedestrian detection
  • 25.2.4 Dynamic object tracking and behavior analysis
  • 25.3 Path planning
  • 25.3.1 Safe path planning methodology
  • 25.3.2 Notations and assumptions
  • 25.3.3 Problem formulation
  • 25.3.4 The Simulation Path Planning and Mapping
  • 25.3.4.1 Risk map update
  • 25.3.4.2 Risk-projected path planning
  • 25.3.4.3 Safe decision-making
  • 25.3.5 Improved SPPAM
  • 25.4 Multi-class autonomous mobility-on-demand as service
  • 25.4.1 Field trial
  • 25.4.1.1 Results
  • 25.5 Public trials of SMART autonomous vehicles
  • 25.5.1 Autonomous golf buggies
  • 25.5.2 Personal mobility autonomous scooter and wheelchair
  • 25.5.3 Self-driving car
  • 25.6 Discussion and conclusion
  • Acknowledgment
  • References

Inspec keywords: mobile robots; electronic mail; educational computing; roads; road traffic control; teleconferencing; distance learning; automobiles; information resources

Other keywords: Singapore-MIT Alliance; self-driving cars; urban roads; Mobility-on-Demand; Mobility-on-demand; Autonomous MoD; AMoD systems; autonomous vehicles; autonomous shuttle buses; delivery robots; fundamental building blocks

Subjects: Information networks; Teleconferencing; Control engineering computing; Mobile robots; Computer-aided instruction; Road-traffic system control

Preview this chapter:
Zoom in
Zoomout

Mobility-on-demand using autonomous vehicles: systems, solutions and challenges, Page 1 of 2

| /docserver/preview/fulltext/books/tr/pbtr025e/PBTR025E_ch25-1.gif /docserver/preview/fulltext/books/tr/pbtr025e/PBTR025E_ch25-2.gif

Related content

content/books/10.1049/pbtr025e_ch25
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address