2026-09-20T09:25:08Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1226992021-07-05T14:03:20Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Berthold K.P. Horn.
Haulcy, R'mani(R'mani Symon)
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2019-11-04T19:53:57Z
2019-11-04T19:53:57Z
2019
2019
https://hdl.handle.net/1721.1/122699
1124924338
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 56-58).
Accidents are relatively rare, and this makes it difficult to study the impact of traffic system changes or vehicle control changes on accident rates. One potential solution to this problem is the use of time-to-contact (TTC) statistics as a proxy for accident probabilities. Low TTC can be used as a measure of potential danger. Simulations were performed to explore whether inverse TTC can serve as a good proxy of accident probability. The resulting data was then analyzed to investigate how inverse TTC varies with the mixture of vehicles with bilateral control as opposed to car-following control. Previously, it was found that a relatively high mixture ratio is needed to prevent phantom traffic jams. The results in this paper show that there is a benefit to mixing bilateral control cars into general traffic, even at relatively low mixture ratios. Simulations were also performed to see how acceleration and jerk vary with the mixture of vehicles with bilateral control so that passenger comfort could be quantified. The results show that bilateral control improves passenger comfort.
by R'mani Haulcy.
S.M.
S.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
58 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Time-to-contact statistics as a proxy for accident probabilities
Thesis
application/pdf
2019-11-04T19:53:56Z
Publication
Master
EECS
unknown
unknown
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<Abstract>Accidents are relatively rare, and this makes it difficult to study the impact of traffic system changes or vehicle control changes on accident rates. One potential solution to this problem is the use of time-to-contact (TTC) statistics as a proxy for accident probabilities. Low TTC can be used as a measure of potential danger. Simulations were performed to explore whether inverse TTC can serve as a good proxy of accident probability. The resulting data was then analyzed to investigate how inverse TTC varies with the mixture of vehicles with bilateral control as opposed to car-following control. Previously, it was found that a relatively high mixture ratio is needed to prevent phantom traffic jams. The results in this paper show that there is a benefit to mixing bilateral control cars into general traffic, even at relatively low mixture ratios. Simulations were also performed to see how acceleration and jerk vary with the mixture of vehicles with bilateral control so that passenger comfort could be quantified. The results show that bilateral control improves passenger comfort.</Abstract>
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