-- ErikZawadzki - 07 Sep 2007

Software:

Adaptive Traffic Algorithms

  • SCOOT (http://www.scoot-utc.com/) (evolved from TRANSYT) by TRL
  • UTOPIA-SPOT by PEEK traffic solutions (optimises a network of controlled intersections)
  • MOVA by TRL (strategy for controlling traffic signals at isolated junctions or stand-alone pedestrian crossing)
  • LHOVRA (Sweden)
  • PASSER
  • Prodyn
  • OPAC
  • OFSET

People

Papers

Title Author Scope Problem Solution Comments
Traffic Intersections of the Future K Dresner and P Stone Single intersection, automated drivers Increased efficiency and throughput Tile-based Reservation Good references
Using Intelligent Agents for Urban Traffic Control Systems D Roozemond Multi-Intersection, human-controlled vehicles General optimizing framework Rule-based pseudo-agent approach Terrible paper, no real content
Optimizing Networks of Traffic Signals in Real Time - The SCOOT Method D Robertson and R Bretherton multiple intersections, human-controlled vehicles To minimize queues and vehicles stops at intersection SCOOT improved on TRANSYT (signal coordination based on fixed time plans) (1) measure CFP in real time (2) update online model of queues continuously (3) incremental optimization of signal settings Definitely a useful real scenario on signal coordination technique
10 Years with LHOVRA - What are the experiences P Engstrom multiple intersections Reduce stops, delays, and accidents in rural & urban areas L=Truck Priority, H=Major road priority, O=Incident reduction, V=Variable green/yellow, R=Reduction of red light infringement Seems to be poorly translated, I didn't get much out of this paper.
A Distributed Approach for Coordination of Traffic Signal Agents Ana L. C. Bazzan Multiple intersections Maximize throughput and traffic saftey; minimize travel times and environmental costs Pseudo-agent multiagent learning approach Some good cites. The multiagent learning seems a little hacky
Game Theory: Potential Applications in Transportation Planning Karim A. S. Ismail Multiple intersections Finding out applications for game theory in traffic Driver timing, Road Pricing, Traffic Assignment, Public Transport, Signal Timing Looks like a good start
Different Policy Objectives of the Road Pricing Problem – a Game Theory Approach D Joksimovic et al one origin-destination (OD) pair, 2 travellers, 1 person as road authority model road pricing problem as 3 types of games: Cournot, Stackelberg and social planner game Multiple optimal solutions exist. the objective functions may have a non-continuous shape scope of the problem is pretty reasonable. not much empirical studies, looks like mostly theoretical stuff.
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Topic revision: r10 - 2007-09-23 - XiAliceGao
 
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