Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata
Self-organizing traffic lights have shown considerable improvements compared to traditional methods in computer simulations. Self-organizing methods, however, use sophisticated sensors, increasing their cost and limiting their deployment. We propose a novel approach using simple sensors to achieve s...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2017
|
| Online Access: | http://hdl.handle.net/1721.1/109699 |
| _version_ | 1826189648909565952 |
|---|---|
| author | Zapotecatl, Jorge L. Rosenblueth, David A. Gershenson Garcia, Carlos |
| author2 | Massachusetts Institute of Technology. SENSEable City Laboratory |
| author_facet | Massachusetts Institute of Technology. SENSEable City Laboratory Zapotecatl, Jorge L. Rosenblueth, David A. Gershenson Garcia, Carlos |
| author_sort | Zapotecatl, Jorge L. |
| collection | MIT |
| description | Self-organizing traffic lights have shown considerable improvements compared to traditional methods in computer simulations. Self-organizing methods, however, use sophisticated sensors, increasing their cost and limiting their deployment. We propose a novel approach using simple sensors to achieve self-organizing traffic light coordination. The proposed approach involves placing a computer and a presence sensor at the beginning of each block; each such sensor detects a single vehicle. Each computer builds a virtual environment simulating vehicle movement to predict arrivals and departures at the downstream intersection. At each intersection, a computer receives information across a data network from the computers of the neighboring blocks and runs a self-organizing method to control traffic lights. Our simulations showed a superior performance for our approach compared with a traditional method (a green wave) and a similar performance (close to optimal) compared with a self-organizing method using sophisticated sensors but at a lower cost. Moreover, the developed sensing approach exhibited greater robustness against sensor failures. |
| first_indexed | 2024-09-23T08:18:57Z |
| format | Article |
| id | mit-1721.1/109699 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T08:18:57Z |
| publishDate | 2017 |
| publisher | Hindawi Publishing Corporation |
| record_format | dspace |
| spelling | mit-1721.1/1096992022-09-30T08:58:28Z Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata Zapotecatl, Jorge L. Rosenblueth, David A. Gershenson Garcia, Carlos Massachusetts Institute of Technology. SENSEable City Laboratory Gershenson Garcia, Carlos Self-organizing traffic lights have shown considerable improvements compared to traditional methods in computer simulations. Self-organizing methods, however, use sophisticated sensors, increasing their cost and limiting their deployment. We propose a novel approach using simple sensors to achieve self-organizing traffic light coordination. The proposed approach involves placing a computer and a presence sensor at the beginning of each block; each such sensor detects a single vehicle. Each computer builds a virtual environment simulating vehicle movement to predict arrivals and departures at the downstream intersection. At each intersection, a computer receives information across a data network from the computers of the neighboring blocks and runs a self-organizing method to control traffic lights. Our simulations showed a superior performance for our approach compared with a traditional method (a green wave) and a similar performance (close to optimal) compared with a self-organizing method using sophisticated sensors but at a lower cost. Moreover, the developed sensing approach exhibited greater robustness against sensor failures. 2017-06-07T14:03:16Z 2017-06-07T14:03:16Z 2017-05 2017-06-07T08:22:24Z Article http://purl.org/eprint/type/JournalArticle 1076-2787 1099-0526 http://hdl.handle.net/1721.1/109699 Zapotecatl, Jorge L.; Rosenblueth, David A. and Gershenson, Carlos. "Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata." Complexity 2017, 7691370 (May 2017): 1-15 © 2017 Jorge L. Zapotecatl et al en http://dx.doi.org/10.1155/2017/7691370 Complexity Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ Copyright © 2017 Jorge L. Zapotecatl et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. application/pdf Hindawi Publishing Corporation Hindawi Publishing Corporation |
| spellingShingle | Zapotecatl, Jorge L. Rosenblueth, David A. Gershenson Garcia, Carlos Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata |
| title | Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata |
| title_full | Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata |
| title_fullStr | Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata |
| title_full_unstemmed | Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata |
| title_short | Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata |
| title_sort | deliberative self organizing traffic lights with elementary cellular automata |
| url | http://hdl.handle.net/1721.1/109699 |
| work_keys_str_mv | AT zapotecatljorgel deliberativeselforganizingtrafficlightswithelementarycellularautomata AT rosenbluethdavida deliberativeselforganizingtrafficlightswithelementarycellularautomata AT gershensongarciacarlos deliberativeselforganizingtrafficlightswithelementarycellularautomata |