Large scale multiclass modelling for addressing the challenges, opportunities and future trends of new urban transport systems

Emerging technologies in automation, IT communications and social (virtual) networks are rapidly changing the landscape of urban transportation. Some examples include autonomous vehicles, tesla vehicles (electric cars), Uber, and drone transport. Future transport requires new thinking and new modelling approaches as well as new modelling tools. In this paper we discuss the new features of transport and shed light on the challenges, opportunities and future trends. We stand by the belief that, though macro modelling will still exist as a tool for planning, detailed simulation (micro simulation) will become a necessity. This will require a whole different subjects pertaining to Big Data, network of networks, Internet of Things (IoT) and sensor networks. We also provide evidence (from literature) that the future transport will consist of a blend of distinct traffic patterns for which the concept of multiclass modelling becomes indispensable. To this end, we present a mathematical model where distinct traffic patterns can coexist in a single and unified model.

• Record URL:
  http://atrf.info/papers/2016/index.aspx
• Authors:
  • Sarvi, M
  • Bagloeei, S A
  • Rajabifard, A
  • Thompson, R G
• Conference:
  • Australasian Transport Research Forum (ATRF), 38th, 2016, Melbourne, Victoria, Australia
• Publication Date: 2016-11

Language

• English

Media Info

• Pagination: 13p
• Monograph Title: 38th Australasian Transport Research Forum (ATRF 2016), Melbourne, 16th - 18th November 2016

Subject/Index Terms

• TRT Terms: Data analysis; Data collection; Highway traffic control; Intelligent transportation systems; Modal shift; Modal split; Software; Transportation operations; Transportation planning; Urban areas; Vehicle characteristics
• ATRI Terms: Data analysis; Intelligent transport systems (ITS); Modal shift; Traffic management; Transport network; Transport planning; Vehicle type
• ITRD Terms: 6471: Analysis (math); 8735: Intelligent transport system; 1154: Network (transport)
• Subject Areas: Operations and Traffic Management; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01627449
• Record Type: Publication
• Source Agency: ARRB
• Files: ITRD, ATRI
• Created Date: Feb 27 2017 10:10AM