Urban Decision & Optimization Lab

URBAN LOGISTICS

MULTI-PARTY LAST MILE DELIVERY COORDINATION

Funded by A*STAR’s Collaborative Urban Logistics Programme

• Management of urban freight transport and distribution systems.
• The last mile - transit of urban freight from the distribution center(s) to the city center (malls, offices and homes) - amounting up to 75% of total logistics costs in Singapore
• STAKEHOLDERS
  
  Government:
  1. Congestion and mobility
  2. Environmental pollution
  3. Safety and livability
• Businesses:
  1. Sustainability (CSR)
  2. Service level improvement
• Mechanism designs and Optimization for getting business stakeholders (shippers, carriers, retailers) to collaborate to improve last mile delivery operations

URBAN MOBILITY

DEMAND-RESPONSIVE TRANSPORT SYSTEMS

Funded by National Research Foundation (NRF) Singapore-MIT Alliance for Research and Technology (SMART)’S Future Urban Mobility Programme

• Optimized matching of taxi supply and passenger demand
  • Taxis and passengers are self-interested
  • Last-mile passenger ride-sharing mechanism design
  • Online demand-aware routing under stochastic demands
• Agent-based simulator to evaluate new policies and control mechanisms

URBAN HEALTH-CARE

DYNAMIC QUEUE CONTROL FOR EMERGENCY DEPARTMENTS

Interactions with Khoo Teck Puat Hospital (KTPH) and other hospitals

• Adaptive matching of patients and resources

• Dispatch strategies to dynamically prioritise patients in the queue in real-time, taking historical data and real-time demand into consideration

  
  

URBAN LEISURE & TOURISM

CROWD COORDINATION AT THEME PARKS

Project with Resorts World Sentosa Singapore (under Living Analytics Research Centre)

• Dynamic Route Guidance and Multi-agent Orienteering
• Agent-based simulation of visitor movement in an crowded facility

URBAN SAFETY & SECURITY

RANDOMIZED PATROL / INSPECTOR SCHEDULING IN PUBLIC PLACES

Interactions with Ministry of Home Affairs & National Environment Agency

Enforcement and Surveillance

• Randomized scheduling of limited resources (e.g. security officers) to patrol the network that maximizes deterrence of crimes / offenses
• Randomized rostering of health inspectors to enforce food hygiene and sanitation requirement