Bidirectional traffic

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A traffic sign in Victoria, Australia that reads "Drive on left in Australia" Drive on left in australia.jpg
A traffic sign in Victoria, Australia that reads "Drive on left in Australia"

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

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

Microscopic traffic flow models have been proposed for bidirectional automobile, pedestrian, and railway traffic. [3] Bidirectional traffic can be observed in ant trails [4] which have been researched for insight into human traffic models. [5] In a macroscopic theory proposed by Laval, the interaction between fast and slow vehicles conforms to the Newell kinematic wave model of moving bottlenecks. [6]

In air traffic control traffic is normally separated by elevation, with east bound flights at odd thousand feet elevations and west bound flights at even thousand feet elevations (1000 ft ≈ 305m). Above 28,000 ft (~8.5 km) only odd flight levels are used, with FL 290, 330, 370, etc., for eastbound flights and FL 310, 350, 390, etc., for westbound flights. [7] 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. [8] Even in no wind cases, a preferred calm wind runway and direction is normally chosen and used by all flights, to avoid collisions. [9] 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. [10]

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.

Most modern roads carry bidirectional traffic, although one-way traffic is common in dense urban centres.[ citation needed ] Bidirectional traffic flow is believed to influence the rate of traffic collisions. In an analysis of head-on, rear-end, and lane-changing collisions based on the Simon-Gutowitz bidirectional traffic model, it was concluded that "the risk of collisions is important when the density of cars in one lane is small and ... the other lane['s] 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." [11]

Bidirectional traffic is the most common form of flow observed in trails, however, some larger pedestrian concourses exhibit multidirectional traffic. [12]

Related Research Articles

Roundabout Traffic intersection

A roundabout is a type of circular intersection or junction in which road traffic is permitted to flow in one direction around a central island, and priority is typically given to traffic already in the junction.

Pedestrian crossing Place designated for pedestrians to cross a road, street or avenue

A pedestrian crossing or crosswalk is a place designated for pedestrians to cross a road, street or avenue. The term "pedestrian crossing" is also used in some international treaties that pertain to road traffic and road signs, such as the Vienna Convention on Road Traffic and the Vienna Convention on Road Signs and Signals.

Traffic congestion Transport condition characterised by slower speed and high density

Traffic congestion is a condition in transport that is characterised by slower speeds, longer trip times, and increased vehicular queueing. Traffic congestion on urban road networks has increased substantially since the 1950s. When traffic demand is great enough that the interaction between vehicles slows the speed of the traffic stream, this results in some congestion. While congestion is a possibility for any mode of transportation, this article will focus on automobile congestion on public roads.

Induced demand Phenomenon in which supply increases lead to a cycle of increased consumption

Induced demand – related to latent demand and generated demand – is the phenomenon that after supply increases, price declines and more of a good is consumed. This is entirely consistent with the economic theory of supply and demand; however, this idea has become important in the debate over the expansion of transportation systems, and is often used as an argument against increasing roadway traffic capacity as a cure for congestion. This phenomenon, more correctly called "induced traffic" or consumption of road capacity, may be a contributing factor to urban sprawl. City planner Jeff Speck has called induced demand "the great intellectual black hole in city planning, the one professional certainty that everyone thoughtful seems to acknowledge, yet almost no one is willing to act upon."

Safety in numbers Hypothesis

Safety in numbers is the hypothesis that, by being part of a large physical group or mass, an individual is less likely to be the victim of a mishap, accident, attack, or other bad event. Some related theories also argue that mass behaviour can reduce accident risks, such as in traffic safety – in this case, the safety effect creates an actual reduction of danger, rather than just a redistribution over a larger group.

Advanced driver-assistance systems Electronic systems that help the vehicle driver while driving or during parking

Advanced driver-assistance systems (ADAS) are groups of electronic technologies that assist drivers in driving and parking functions. Through a safe human-machine interface, ADAS increase car and road safety. ADAS use automated technology, such as sensors and cameras, to detect nearby obstacles or driver errors, and respond accordingly.

An agent-based model (ABM) is a computational model for simulating the actions and interactions of autonomous agents in order to understand the behavior of a system and what governs its outcomes. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo methods are used to understand the stochasticity of these models. Particularly within ecology, ABMs are also called individual-based models (IBMs). A review of recent literature on individual-based models, agent-based models, and multiagent systems shows that ABMs are used in many scientific domains including biology, ecology and social science. Agent-based modeling is related to, but distinct from, the concept of multi-agent systems or multi-agent simulation in that the goal of ABM is to search for explanatory insight into the collective behavior of agents obeying simple rules, typically in natural systems, rather than in designing agents or solving specific practical or engineering problems.

Bike lane

Bike lanes (US) or cycle lanes (UK) are types of bikeways (cycleways) with lanes on the roadway for cyclists only. In the United Kingdom, an on-road cycle-lane can be firmly restricted to cycles or advisory. In the United States, a designated bicycle lane or class II bikeway (Caltrans) is always marked by a solid white stripe on the pavement and is for 'preferential use' by bicyclists. There is also a class III bicycle route, which has roadside signs suggesting a route for cyclists, and urging sharing the road. A class IV separated bike way (Caltrans) is a bike lane that is physically separate from motor traffic and restricted to bicyclists only.

Evacuation simulation is a method to determine evacuation times for areas, buildings, or vessels. It is based on the simulation of crowd dynamics and pedestrian motion.

Vehicular cycling Practice of riding bicycles on roads while obeying roadway rules

Vehicular cycling is the practice of riding bicycles on roads in a manner that is in accordance with the principles for driving in traffic, and in a way that places responsibility for safety on the individual.

In mathematics and transportation engineering, traffic flow is the study of interactions between travellers and infrastructure, with the aim of understanding and developing an optimal transport network with efficient movement of traffic and minimal traffic congestion problems.

Transportation forecasting

Transportation forecasting is the attempt of estimating the number of vehicles or people that will use a specific transportation facility in the future. For instance, a forecast may estimate the number of vehicles on a planned road or bridge, the ridership on a railway line, the number of passengers visiting an airport, or the number of ships calling on a seaport. Traffic forecasting begins with the collection of data on current traffic. This traffic data is combined with other known data, such as population, employment, trip rates, travel costs, etc., to develop a traffic demand model for the current situation. Feeding it with predicted data for population, employment, etc. results in estimates of future traffic, typically estimated for each segment of the transportation infrastructure in question, e.g., for each roadway segment or railway station. The current technologies facilitate the access to dynamic data, big data, etc., providing the opportunity to develop new algorithms to improve greatly the predictability and accuracy of the current estimations.

Lane splitting

Lane splitting is riding a bicycle or motorcycle between lanes or rows of slow moving or stopped traffic moving in the same direction. It is sometimes called whitelining, or stripe-riding. This allows riders to save time, bypassing traffic congestion, and may also be safer than stopping behind stationary vehicles.

Rule 184 Elementary cellular automaton

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PTV VISSIM

PTV Vissim is a microscopic multi-modal traffic flow simulation software package developed by PTV Planung Transport Verkehr AG in Karlsruhe, Germany. The name is derived from "Verkehr In Städten - SIMulationsmodell". PTV Vissim was first developed in 1992 and is today a global market leader.

Dirk Helbing

Dirk Helbing is Professor of Computational Social Science at the Department of Humanities, Social and Political Sciences and affiliate of the Computer Science Department at ETH Zurich.

Traffic count

A traffic count is a count of vehicular or pedestrian traffic, which is conducted along a particular road, path, or intersection. A traffic count is commonly undertaken either automatically, or manually by observers who visually count and record traffic on a hand-held electronic device or tally sheet. Traffic counts can be used by local councils to identify which routes are used most, and to either improve that road or provide an alternative if there is an excessive amount of traffic. Also, some geography fieldwork involves a traffic count. Traffic counts provide the source data used to calculate the Annual Average Daily Traffic (AADT), which is the common indicator used to represent traffic volume. Traffic counts are useful for comparing two or more roads, and can also be used alongside other methods to find out where the central business district (CBD) of a settlement is located. Traffic counts that include speeds are used in speed limit enforcement efforts, highlighting peak speeding periods to optimise speed camera use and educational efforts.

Protected intersection At-grade road junction in which cyclists and pedestrians are separated from cars

A protected intersection or protected junction, also known as a Dutch-style junction, is a type of at-grade road junction in which cyclists and pedestrians are separated from cars. The primary aim of junction protection is to make pedestrians and cyclists safer and feel safer at road junctions.

Urban traffic modeling and analysis is part of the advanced traffic intelligent management technologies that has become a crucial sector of Traffic management and control. Its main purpose is to predict congestion states of a specific urban transport network and propose improvements in the traffic network. Researches rely on three different informations. Historical and recent information of a traffic network about its density and flow, a model of the transport network infrastructure and algorithms referring to both spatial and temporal dimensions. The final objective is to provide a better optimization of the traffic infrastructure such as traffic lights. Those optimizations should result into a decrease of the travel times, pollution and fuel consumption.

Petros A. Ioannou is a Cypriot American Electrical Engineer who made important contributions in Robust Adaptive Control, Vehicle and Traffic Flow Control, and Intelligent Transportation Systems.

References

  1. Moussa, Najem (2008-11-10). "Simon–Gutowitz bidirectional traffic model revisited". Physics Letters A. 372 (45): 6701–6704. arXiv: 0903.1345 . Bibcode:2008PhLA..372.6701M. doi:10.1016/j.physleta.2008.08.081. S2CID   17577121.
  2. Pursall, B. R.; King, Alan Leslie (1976). "The aerodynamics and ventilation of vehicle tunnels: a state of the art review and bibliography". BHRA Fluid Engineering. 2: 236. ISBN   978-0-900983-62-7.
  3. 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 . Bibcode:1998PhRvE..57.2441S. doi:10.1103/PhysRevE.57.2441. S2CID   118276303.
  4. Burd, Martin; N. Aranwela (February 2003). "Head-on encounter rates and walking speed of foragers in leaf-cutting ant traffic". Insectes Sociaux. Birkhäuser Basel. 50 (1): 3–8. doi:10.1007/s000400300001. S2CID   23876486.
  5. 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. arXiv: 0903.1434 . doi:10.1007/s11721-008-0010-8. S2CID   18350336.
  6. 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.[ dead link ]
  7. "airways and aircraft separation". www.pilotfriend.com.
  8. Relative Velocity
  9. "Calm Wind Runways" (PDF). Archived from the original (PDF) on 2012-06-17. Retrieved 2012-05-30.
  10. "Operations at nontowered airports" (PDF). Archived from the original (PDF) on 2006-01-13. Retrieved 2012-05-30.
  11. Moussa, Najem (2009). "Simulation study of traffic accidents in bidirectional traffic models". International Journal of Modern Physics C. 21 (12): 1501–1515. arXiv: 0905.4252 . Bibcode:2010IJMPC..21.1501M. doi:10.1142/S0129183110016007. S2CID   16610321.
  12. 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. S2CID   110675891. Archived from the original (PDF) on 2020-05-04. Retrieved 2009-09-09.

Further reading