Name
Title | ||
|---|---|---|
Adaptive traffic signal control using vehicle-to-infrastructure communication: a technical note |
Abstract | ||
|---|---|---|
This paper presents a preliminary study on controlling traffic signals using information collected via vehicle-to-infrastructure (V2I) communication. The key idea is to use vehicle speed and position as state variable, and construct a state-space presentation of the control problem. We propose dynamic programming and its derivative methods to solve the problem. An advantage of using speed and position as state variables is that difficulties of defining queue and estimating queue length at real-time are circumvented. Dynamic programming methods aim to optimise control performance successively at real-time. The method presented here is the first few that address the increasing possibility of adopting V2I for urban traffic management. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1899441.1899453 | Computational Transportation Science |
Keywords | Field | DocType |
vehicle-to-infrastructure communication,technical note,urban traffic management,control performance,dynamic programming method,derivative method,control problem,defining queue,dynamic programming,queue length,adaptive traffic signal control,state variable,vehicle speed,real time,traffic management,state space | Dynamic programming,Traffic signal,Technical note,Vehicle to infrastructure,Computer science,Queue,Real-time computing,State variable | Conference |
Citations | PageRank | References |
6 | 0.71 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen Cai | 1 | 12 | 4.36 |
| Yang Wang | 2 | 13 | 3.59 |
| Glenn Geers | 3 | 34 | 9.13 |