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Analysis of vehicle stop-and-go driving behaviors at signalized intersections
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhu, Sicong Kim, Inhi Zhao, Qi Song, Guohua Chen, Zhigui |
| Copyright Year | 2018 |
| Abstract | Vehicle specific power (VSP) has been widely utilized to reveal the impact of vehicle operating conditions on estimations of emissions and energy consumption that are dependent upon speed and acceleration or deceleration based on second-by-second vehicle operation. The analysis of acceleration and deceleration stop-and-go behaviors at intersections is needed for queue simulation and emissions estimation. High-resolution data obtained by driving simulator sensors can provide useful insights into driving behavior at intersections. Hence, aggressive driving behaviors that account for a significant share of vehicle emissions can be identified by data-driven analysis of VSP distribution. Based on the analysis results, an aggregated VSP distribution represents the profile of driving behaviors at signalized intersections. KEYWORD: vehicle specific power (VSP), aggressive driving, simulator, data-driven. |
| Starting Page | 3150 |
| Ending Page | 3160 |
| Page Count | 11 |
| File Format | PDF HTM / HTML |
| DOI | 10.1061/9780784480915.330 |
| Alternate Webpage(s) | https://researchmgt.monash.edu/ws/portalfiles/portal/249640727/242144417_oa.pdf |
| Alternate Webpage(s) | https://doi.org/10.1061/9780784480915.330 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
