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Urban Evacuation

Overview 1
Network Re-Roganization 2
Related Publications 3
Demos 4

The pur­pose of this project is to define and eval­u­ate col­lab­o­ra­tive agent-based algo­rithms in the con­text of an Agent-based Intel­li­gent Trans­porta­tion Sys­tems (ATS).

In the trans­porta­tion field, var­i­ous mod­els have been defined in the con­text of urban evac­u­a­tion. These mod­els are based on the defi­ni­tion of a traffic strat­e­gy then its exe­cu­tion. The main draw­back of these mod­els is that they do not account for the dynam­ic nature of real-world traf­fic networks.

Our research improves the state-of-the-art by propos­ing agent-based self-orga­niz­ing algo­rithms for traf­fic net­work oper­a­tions that con­sid­ers cur­rent traf­fic conditions.
Traf­fic re-orga­ni­za­tion refers to the mod­ifi­ca­tion of the traf­fic net­work topol­o­gy to bet­ter uti­lize an exist­ing net­work capac­i­ty. This is com­mon­ly achieved by apply­ing a com­bi­na­tion of road rever­sal and cross­ing elim­i­na­tion operations. 

The traf­fic man­ag­er exe­cutes a three-step plan to re-orga­nize the traf­fic envi­ron­ment in an effort to max­i­mize the evac­u­a­tion effort. Based on the infor­ma­tion exchanged with the inter­sec­tion con­troller agents, the traf­fic man­ag­er deter­mines the next set of roads to be reversed. Before revers­ing the direc­tions, it is nec­es­sary to emp­ty roads from traf­fic and pre­vent new traf­fic from enter­ing. This respon­si­bil­i­ty is del­e­gat­ed to inter­sec­tion con­troller agents who adapt their traf­fic con­trol strate­gies to min­i­mize the time required to clear the roads marked for rever­sal. Once the roads are emp­ty from traf­fic, road rever­sal oper­a­tions are performed.

Ini­tial Net­work topology 

Net­work after the Iden­ti­fi­ca­tion of Roads to be Reversed 

Net­work after Plan­ning for Safe Reversal 

Net­work after Road Rever­sal is Applied

  • Moham­mad Al-Zinati and Rym Wenkstern. An agent-based self-orga­niz­ing traf­fic envi­ron­ment for urban evac­u­a­tions. In Pro­ceed­ings of the The Six­teenth Inter­na­tion­al Con­fer­ence on Autonomous Agent and Mul­ti­a­gent Sys­tems, AAMAS ‘2017, May 2017.
  • Moham­mad Al-Zinati and Rym Wenkstern. Sim­u­la­tion of traf­fic net­work re-orga­ni­za­tion oper­a­tions. In Pro­ceed­ings of the 20th IEEE/ACM Inter­na­tion­al Sym­po­sium on Dis­trib­uted Sim­u­la­tion and Real Time Appli­ca­tions, DS-RT 16, pages 178–186, Sep­tem­ber 2016. 
  • Moham­mad Al-Zinati and Rym Wenkstern. Matisse 2.0: a large-scale mul­ti-agent sim­u­la­tion sys­tem for agent-based its. In Pro­ceed­ings of the 2015 ieee/wiciacm inter­na­tion­al con­fer­ence on intel­li­gent agent tech­nol­o­gy, lAT’ 15, pages 328–335, Decem­ber 2015.
  • Moham­mad Al-Zinati and Rym Wenkstern. A self-orga­niz­ing vir­tu­al envi­ron­ment for agent-based sim­u­la­tions. In Pro­ceed­ings of the 2015 inter­na­tion­al con­fer­ence on autonomous agents and mul­ti­a­gent sys­tems, AAMAS ’15, pages 1031–1039, May 2015.

More pub­li­ca­tions avail­able here 

Urban Evac­u­a­tion with Net­work Re-Orga­ni­za­tion Operations

Dynam­ic road reversal