A simulation-based methodology to compare the performance of highway space inventory control and ramp metering control

Edara, Praveen; Teodorović, Dušan; Triantis, Konstantinos; Natarajan, Shankar

doi:10.1080/03081060.2011.602851

Cited by 9 publications

(7 citation statements)

References 3 publications

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“…McGinley et al [12] showed, from the standpoint of queuing theory, that a reservation system is necessary to avoid waiting, when the average waiting time is large at the optimal point of operation. De Feijter et al [13] stated that the objective of trip-booking is improving reliability and predictability of travel times, and his simulation experiments showed exactly so. Edara and Teodorovic [3] took the lead in conducting extensive modeling work of reservation system by proposing a Highway Allocation System (HAS) and Highway…”

Section: Literature Review Highway Reservation Studiesmentioning

confidence: 95%

“…Edara and Teodorovic [13] compared the performance of the HAS with some other traffic management strategies, such as pre-timed ramp-metering and an isolated ramp-metering algorithm called ALINEA. The simulation results show that HAS produces 35% to 45%…”

Section: Literature Reviewmentioning

confidence: 99%

“…Edara and Teodorovic [11] conducted extensive modelling work of reservation system, proposing a Highway [3][4][5]12]. Liu [13] used a different approach: a token-based reservation idea from computer science domain.…”

Section: Literature Reviewmentioning

confidence: 99%

“…movements. Other state-of-the-art applications include traffic monitoring [3,4], ramp metering [5], route guidance [6], traffic signal control [7][8][9][10][11][12], freeway safety [13,14],…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

“…Merging and diverging assistance system has been studied recently by a lot of researchers, such as Ran et al [11], Ferlis [12], Purboobpaphan et al [13], and Park and Smith [14]. The on-the-fly center deals with the reservation requests from the vehicles that are on the general purpose lanes and ask for immediate access into the reserved lane.…”

Section: Traffic Monitor Centermentioning

confidence: 99%

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Highway Reservation System: Models, Simulations, and Implementation Discussions

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Motivation Urban road networks are severely congested with economic development, resulting in increased travel times, air pollution, noise, and traffic crashes. As shown by the National Congestion Measures between 1982 and 2011, provided by the 2012 Urban Mobility Report [1], congestion has increased substantially over the 30 years, and is "recovering" from the economic recession during 2009. The delay per commuter in 2011 is 38 hours, which is equivalent to 5 days of vacation per year. Adding more capacity by providing more road lanes and more public transportation is the most fundamental congestion solution in most growing urban regions to satisfy the increasing travel demand. However, road capacity almost always increases in a slower rate than the demand growth. As shown by the Road Growth and Mobility Level Exhibit [1] (Figure 1), 56 in 101 study areas have travel demand growth 30% faster than supply, and only 17 areas have a less than 10% gap between demand and supply growth. Furthermore, accidents or work zones may create bottlenecks on the road and seriously downgrade the road capacity. It is not economically justified and hardly possible to satisfy the increasing peak hour demand. An economical way is leveling the time fluctuation of traffic demand in order to decrease the imbalance between road capacity and traffic demand during the peak-hours.

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Section: Literature Review Highway Reservation Studiesmentioning

confidence: 95%

Section: Literature Reviewmentioning

confidence: 99%