Bidirectional traffic

In transportation infrastructure, a bidirectional traffic system divides travelers into two streams of traffic that flow in opposite directions.[1]

Bidirectional traffic is observed in a wide variety of applications, including aerodynamics; architecture; cellular automata; data; engineering; entomology; model theory; molecular biology; ornithology; pedestrian movement; and statistical mechanics.

Aerodynamics

In the design and construction of tunnels, bidirectional traffic can markedly affect ventilation considerations.[2][3][4]

Modelling

Microscopic traffic flow models have been proposed for bidirectional automobile, pedestrian, and railway traffic.[5][6][7]

Entomology

Bidirectional traffic can be observed in ant trails.[8][9] As of recent years, this behavior has been researched for insight into human traffic models.[10]

Human transportation

Airways

Aviation is normally separated by elevation, with east bound flights at odd thousand feet elevations and west bound flights at even thousand feet elevations (1000ft ≈ 305m). Above 28,000ft (~8.5km) only odd flight levels are used, with FL 290, 330, 370, etc., for eastbound flights and FL 310, 350, 390, etc., for westbound flights.[11] Entry to and exit from airports is always one-way traffic, as runways are chosen to allow aircraft to take off and land into the wind, to reduce ground speed.[12] Even in no wind cases, a preferred calm wind runway and direction is normally chosen and used by all flights, to avoid collisions.[13] In uncontrolled airports, airport information can be obtained from anyone at the airport. Traffic follows a specific traffic pattern, with designated entry and exits. Radio announcements are made, whether anyone is listening or not, to allow any other traffic to be aware of other traffic in the area.[14]

Railways

Main article: Double track
A BNSF Railway intermodal train passes some maintenance of way equipment on the double track mainline in Prairie du Chien, Wisconsin.

In the earliest days of railways in the United Kingdom, most lines were built double tracked because of the difficulty of coordinating operations in pre-telegraphy times.

Roads

Main articles: Two-way street and dual carriageway
A traffic sign in Victoria, Australia that reads "Drive on left in Australia"

Most modern roads carry bidirectional traffic, although unidirectional (one-way) streets are common in dense urban centres.

Bidirectional traffic flow is believed to influence the rate of traffic collisions. In an analysis of head-on collisions, rear-end collisions, and lane-changing collisions based on the Simon-Gutowitz bidirectional traffic model, Moussa concluded that "the risk of collisions is important when the density of cars in one lane is small and that of the other lane is high enough", and that "heavy vehicles cause an important reduction of traffic flow on the home lane and provoke an increase of the risk of car accident".[15]

In a macroscopic theory proposed by Laval, the interaction between fast and slow vehicles conforms to the Newell kinematic wave model of moving bottlenecks.[16]

Trails

Bidirectional traffic is the most common form of flow observed in trails, however, some larger pedestrian concourses exhibit multidirectional traffic.[17]

Waterways

See also

References

  1. Moussa, Najem (2008-11-10). "Simon–Gutowitz bidirectional traffic model revisited". Physics Letters A 372 (45): 6701–6704. arXiv:0903.1345. doi:10.1016/j.physleta.2008.08.081.
  2. Stephens, Herbert; D. H. Goodes (1982). "Papers presented". Fourth International Symposium on the Aerodynamics & Ventilation of Vehicle Tunnels. York, England: BHRA Fluid Engineering. pp. 466–472. ISBN 978-0-906085-63-9. With unidirectional traffic the maximum CO concentration area can also be a high turbidity one. In the case of bidirectional traffic this should be avoided because vehicles travelling against the ventilation flow must have sufficient visibility at the tunnel entrance.
  3. "The aerodynamics and ventilation of vehicle tunnels: a state of the art review and bibliography". BHRA Fluid Engineering 2: 236. 1976. ISBN 978-0-900983-62-7.
  4. Caserta, A. S. (2000). "Principles, analysis and design". 10th International Symposium on Aerodynamics and Ventilation of Vehicle Tunnels. ISBN 978-1-86058-255-4.
  5. Simon, P. M.; H. A. Gutowitz (February 1998). "Cellular automaton model for bidirectional traffic". Physical Review E 57 (2): 2441–2444. arXiv:cond-mat/9801024. doi:10.1103/PhysRevE.57.2441.
  6. Zhang, Jin; Hui Wang; Ping Li (July 2004). "Cellular automata modeling of pedestrian’s crossing dynamics". Journal of Zhejiang University - Science A 5 (7): 835–840. doi:10.1631/jzus.2004.0835.
  7. Li, KePing; ZiYou Gao; Bin Ni (2005-10-10). "Cellular automaton model for railway traffic". Journal of Computational Physics 209 (1): 179–192. doi:10.1016/j.jcp.2005.03.016. Similar CA models include the bidirectional traffic model and the traffic networks model, etc.
  8. Burd, Martin; N. Aranwela (February 2003). "Head-on encounter rates and walking speed of foragers in leaf-cutting ant traffic" (PDF). Insectes Sociaux (Birkhäuser Basel) 50 (1): 3–8. doi:10.1007/s000400300001. Retrieved 2009-09-10.
  9. Ribeiro, Pedro; André Frazão Helene; Gilberto Xavier; Carlos Navas; Fernando Leite Ribeiro (2009-04-01). Dornhaus, Anna, ed. "Ants can learn to forage on one-way trails". PLoS ONE 4 (4): e5024. doi:10.1371/journal.pone.0005024. PMC 2659768. PMID 19337369. Retrieved 2009-09-10.
  10. John, Alexander; Andreas Schadschneider; Debashish Chowdhury; Katsuhiro Nishinari (March 2008). "Characteristics of ant-inspired traffic flow". Swarm Intelligence (Springer New York) 2 (1): 25–41. doi:10.1007/s11721-008-0010-8.
  11. airways and aircraft separation
  12. Relative Velocity
  13. Calm Wind Runways
  14. Operations at nontowered airports
  15. Moussa, Najem (2009). "Simulation study of traffic accidents in bidirectional traffic models". arXiv:0905.4252 [physics.soc-ph].
  16. Laval, Jorge (December 2006). "A macroscopic theory of two-lane rural roads" (PDF). Transportation Research Part B: Methodological 40 (10): 937–944. doi:10.1016/j.trb.2006.03.002. Retrieved 2009-09-10.
  17. Blue, Victor; Jeffrey Adler (1999). "Cellular automata microsimulation of bidirectional pedestrian flows" (PDF). Transportation Research Record: Journal of the Transportation Research Board (Transportation Research Board of the National Academies) 1678 (1): 135–141. doi:10.3141/1678-17. Retrieved 2009-09-09.

Further reading

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