EVALUATION OF NETWORK CONDITIONS WITH ADVANCED INFORMATION SYSTEMS IN A DAY-TO-DAY FRAMEWORK

Evaluation of real-time information systems to tripmakers in urban networks has been primarily concerned with the potential of this information to redistribute flows spatially over the network during the peak period on a given day. However, real-time information can also induce changes in time of departure, leading to temporal redistribution of the flows. Such effects tend to take place through the decisions of users taking place over several days. In other words, while the ability of real-time information to affect en-route path switching is well recognized, its potential effect on the day-to-day decisions of departure time and route remains to be investigated systematically. Day-to-day decisions of tripmakers are influenced by their experience with the traffic system, as well as with the supplied information. Given the resulting time-dependent trip desires from given origins to various destinations, further en-route path switching is possible in response to real-time information. A day-to-day dynamic framework, in which the DYNASMART simulation-assignment model is applied to evaluating the performance of traffic networks, is developed to study network dynamics under different information systems. Two levels of tripmaker decision-making processes are identified: day-to-day dynamics and real-time dynamics. Day-to-day dynamics consider drivers' choices of departure time and route according to indifference banks of tolerable "schedule delay" defined as the difference between the user's actual and preferred arrival times. Real-time dynamics are incorporated within DYNASMART to evaluate driver's real-time switching behavior. One of the key features of DYNASMART is its ability to model vehicle paths in the network as the explicit outcome of individual route choice decisions at origins or at nodes of the network. Traffic flow is represented using a hybrid approach where vehicles are tracked individually or in macro particles, and moved consistently with macroscopic traffic flow relations. Junction delays are explicitly modeled. Vehicles are routed in the network according to different rules depending on information availability. Computational aspects and numerical results are presented to investigate the day-to-day evolution of network conditions under real-time information, and to assess the medium to longer term impact and effectiveness of such information in a proper dynamic perspective.

• Supplemental Notes:
  • Five volumes of papers and one volume of abstracts comprise the published set of conference materials.
• Corporate Authors:

  VERTIS

  TORANOMOM 34 MORI BUILDING 1-25-5
  TORANOMON, MINATOKU, TOKYO 105  Japan 
• Authors:
  • Mahmassani, H S
  • Hu, T-Y
• Conference:
  • Steps Forward. Intelligent Transport Systems World Congress
  • Location: Yokohama, Japan
  • Date: 1995-11-9 to 1995-11-11
• Publication Date: 1995-11

Language

• English

Media Info

• Pagination: p. 2068

Subject/Index Terms

• TRT Terms: Decision making; Driver information systems; Dynamic models; Impacts; Intelligent transportation systems; Networks; Real time control; Roads; Simulation; Traffic flow
• Uncontrolled Terms: Road networks
• Geographic Terms: United States
• Old TRIS Terms: Models-simulation; Real-time systems
• Subject Areas: Highways; Operations and Traffic Management; I71: Traffic Theory;

Filing Info

• Accession Number: 00724454
• Record Type: Publication
• Report/Paper Numbers: Volume 4
• Files: TRIS
• Created Date: Aug 24 1996 12:00AM