1999 Fiscal Year Final Research Report Summary
A Study for Developing On-line Traffic Control System Model for Urban Expressway
| Project/Area Number |
10555184
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 展開研究 |
|---|
| Research Field |
交通工学・国土計画
|
|---|
| Research Institution | KYOTO UNIVERSITY |
|---|
Principal Investigator |
LIDA Yasunori Kyoto Univ., Civil Eng., Professor, 工学研究科, 教授 (10026114)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
KURAUCHI Fumitaka Kyoto Univ., Civil Eng., Research Associate, 工学研究科, 助手 (10263104)
UNO Nobuhiro Kyoto Univ., Civil Eng., Research Associate, 工学研究科, 助手 (80232883)
TANIGUCHI Eiichi Kyoto Univ., Civil Eng., Associate Professor, 工学研究科, 助教授 (70252468)
ASAKURA Yasuo Ehime Univ., Civil & Env. Eng., Professor, 工学部, 教授 (80144319)
|
|---|
| Project Period (FY) |
1998 – 1999
|
| Keywords | traffic control / inflow control / ITS / information system / dynamic traffic simulation / OD estimation |
|---|
| Research Abstract |
This study aims at developing an on-line traffic control system model for urban expressway. This study is composed of the following four research topics.
1) The first topic is to develop the LP (Linear Programming) type inflow control model that uses the traffic data obtained in the real-time manner as much as possible. The inflow model explicitly considers time-dependent changes in traffic demand and travel speed. Also the model includes the driver's route choice model for the future extension of urban expressway network.
2) This study also proposed a "meso" traffic simulation model by which control schemes for urban expressway can be evaluated. The model has strong points both of macroscopic and microscopic simulation models. Each vehicle is assumed to travel according to traffic condition updated through macroscopic procedure. This assumption leads to the characteristic that the destination and route of each vehicle can be explicitly considered in the model. The validity of model was confirmed through the comparison between observed and estimated traffic conditions.
3) In order to enhance the practicability of both the traffic simulation model and the inflow control model, it is necessary to develop the method to estimate dynamic OD traffic volume. This study proposed the method for estimating dynamic OD traffic volume from traffic counts and AVI (Automated Vehicle Identification) data. The method originates from the least square method for the error between observed and estimated traffic volumes.
4) A system model for on-line traffic control for urban expressway was developed by integrating the inflow control model, the meso traffic simulation model and the method for estimating dynamic OD traffic volumes. The validity and practicability of the system model was confirmed by some cases of numerical examples for an urban expressway network.
|
