Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Runjia Du"'
Publikováno v:
Frontiers in Built Environment, Vol 6 (2020)
The evolution of scientific advances has often been characterized by the amalgamation of two or more technologies. With respect to vehicle connectivity and automation, recent literature suggests that these two emerging transportation technologies can
Externí odkaz:
https://doaj.org/article/c6a8adb88e45472b8163128762b14bd2
Publikováno v:
Computers, Vol 11, Iss 3, p 38 (2022)
Optimizing traffic signal control (TSC) at intersections continues to pose a challenging problem, particularly for large-scale traffic networks. It has been shown in past research that it is feasible to optimize the operations of individual TSC syste
Externí odkaz:
https://doaj.org/article/6a39300d190245e38873f8150b982b68
Publikováno v:
Computer-Aided Civil & Infrastructure Engineering; 3/15/2024, Vol. 39 Issue 6, p793-813, 21p
Publikováno v:
Transportation Research Part A: Policy and Practice. 148:79-99
Transportation agencies routinely make repair decisions in numerous contexts which include the timing of different repair treatments over an extended period. The timing policy may be characterized either by a standalone manner that maximizes the outc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec21448d95897d6cc8ea3026ff932b04
https://doi.org/10.1016/j.tra.2021.02.021
https://doi.org/10.1016/j.tra.2021.02.021
Large network multi-level control for CAV and Smart Infrastructure: AI-based Fog-Cloud collaboration
Publikováno v:
Center for Connected and Automated Transportation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d258bb90c8f3acb29824c2d3b7c02c26
https://docs.lib.purdue.edu/context/ccat/article/1000/viewcontent/Report__55___Large_network__compliant_report.pdf
https://docs.lib.purdue.edu/context/ccat/article/1000/viewcontent/Report__55___Large_network__compliant_report.pdf
Publikováno v:
Center for Connected and Automated Transportation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcde35bbb38eba8cd94b1fc299386911
https://docs.lib.purdue.edu/context/ccat/article/1011/viewcontent/_41_AI_based_control__compliant_report.pdf
https://docs.lib.purdue.edu/context/ccat/article/1011/viewcontent/_41_AI_based_control__compliant_report.pdf
Autor:
Ananth V. Iyer, Samuel Labi, Steven R. Dunlop, Dutt J. Thakkar, Sayak Mishra, Lavanya Krishna Kumar, Runjia Du, Miheeth Gala, Apoorva Banerjee, Gokul Siddharthan
Publikováno v:
JTRP Technical Reports
The Indiana Department of Transportation (INDOT) is responsible for timely clearance of snow on state-maintained highways in Indiana as part of its wintertime operations. For this and other maintenance purposes, the state’s subdistricts maintain 10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb621f0657db8c21c1baadabae23cce8
https://docs.lib.purdue.edu/jtrp/1790
https://docs.lib.purdue.edu/jtrp/1790
Dissertation/ Thesis
Autor:
Runjia Du (9756128)
Traffic safety and congestion are global concerns. Autonomous vehicles (AVs) are expected to enhance transportation safety and reduce congestion. However, achieving their full potential requires 100% market penetration, a challenging task. This study
Dissertation/ Thesis
Autor:
RUnjia Du (9756128)
Ninety-five percent of all roadway crashes are attributed fully or partially to human error, and a multitude of safety-related programs, policies, and initiatives have seen limited success in reducing roadway crashes and their accompanying fatalities
Autor:
Jiqian Dong, Sikai Chen, Yujie Li, Paul Young Joun Ha, Samuel Labi, Panagiotis Ch. Anastasopoulos, Runjia Du
Publikováno v:
ITSC
Autonomous vehicles (AVs) are expected to increase the safety of transportation systems because automation minimizes human error in driving tasks. It is likely that such benefits will be fully manifested only when AV market penetration reaches 100%.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a572943c08075a8c774ad7e7754dab96
https://doi.org/10.1109/itsc48978.2021.9564937
https://doi.org/10.1109/itsc48978.2021.9564937