2003
DOI: 10.5703/1288284313195
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Development of Vehicle Platoon Distribution Models and Simulation of Platoon Movements on Indian Rural Corridors

Abstract: Prepared in cooperation with the Indiana Department of Transportation and Federal Highway Administration. AbstractSince the 1980s, traffic volumes have experienced a rapid growth of approximately 30% in Indiana. Traffic data indicates that more than 70% of vehicles travel in platoons on Indiana highway corridors in the vicinity of urban areas. At a rural highway intersection consisting of a major road with high traffic volume and a minor road with low traffic volume, it is very common that the green time canno… Show more

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Cited by 10 publications
(6 citation statements)
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“…If there are no sufficient traffic data collected, the platoon speed distribution can be used as a surrogate to generate random progression time. Jiang et al [49] collected speed data using loop detectors and showed that the platoon speed follows the normal distribution well. In addition, it is beneficial to utilize other common distributions (e.g., uniform distribution) and then conduct sensitivity analysis.…”
Section: B Two-phase Approach: Generate Multiple Plans and Rank Themmentioning
confidence: 98%
See 1 more Smart Citation
“…If there are no sufficient traffic data collected, the platoon speed distribution can be used as a surrogate to generate random progression time. Jiang et al [49] collected speed data using loop detectors and showed that the platoon speed follows the normal distribution well. In addition, it is beneficial to utilize other common distributions (e.g., uniform distribution) and then conduct sensitivity analysis.…”
Section: B Two-phase Approach: Generate Multiple Plans and Rank Themmentioning
confidence: 98%
“…The cycle-by-cycle platoon speed is often considerably lower than the prevailing speed (e.g., see the field data in [49,Sec. 3.5]).…”
Section: Case Studiesmentioning
confidence: 98%
“…Moreover, because of the large number of vehicles and the restricted road topology, vehicle speed is generally low, and the mobility dynamics change not as frequently in urban area as the highway. Therefore, the traffic density and packet delay will not change so much in a few of seconds [3]. Accordingly, the real-time traffic density and packet delay information instead of static information can be used as the routing metric to improve the routing performance.…”
Section: Assumption and Protocol Frameworkmentioning
confidence: 99%
“…The reason is that vehicles are frequently interrupted due to the traffic signals and often slow down or stop in front of the intersections. In addition, traffic statistics indicate that more than 70% of the vehicles travelling in a platoon form in urban areas [3], which may further increase the disconnection probability considering the possible gap between clusters. Hence, routing protocols that simply consider the average vehicle density or probability of connectivity may choose the improper road segment I 11 I 12 instead of I 21 I 22 and result in local optimums as shown in Figure 1.…”
Section: Introductionmentioning
confidence: 99%
“…Such a very high practical interest accounts for the numerous models developed over the years. By way of an example, it is worth mentioning the research conducted by Baras et al [8], which also considers facilities with interrupted flow -and the most recent studies by Ramezani et al [9] and Jiang et al [10]. Still today, therefore, the topic has a remarkable scientific and practical interest and deserves in-depth analysis.…”
Section: Introductionmentioning
confidence: 99%