A DMB-TCA Simulation Method for On-Road Traffic Travel Demand Impact Analysis

Travel Demands influence micro-level traffic behavior,
furthermore traffic states. In order to evaluate the effect of travel
demands on traffic states, this paper introduces the Demand-
Motivation-Behaviors (DMB) micro traffic behavior analysis model
which denotes that vehicles behaviors are determines by motivations
that relies on traffic demands from the perspective of behavior
science. For vehicles, there are two kinds of travel demands: reaching
travel destinations from orientations and meeting expectations of
travel speed. To satisfy travel demands, the micro traffic behaviors are
delivered such as car following behavior, optional and mandatory lane
changing behaviors. Especially, mandatory lane changing behaviors
depending on travel demands take strong impact on traffic states.
In this paper, we define the DMB-based cellular automate traffic
simulation model to evaluate the effect of travel demands on traffic
states under the different δ values that reflect the ratio of mandatory
lane-change vehicles.





References:
<p>[1] S. Wolfram, Theory and applications of cellular automata. Singapore:
World Scientific, 1986.
[2] M.Cremer, J.Ludwig, &ldquo;A fast simulation model for traffic flow on the
basis of boolean operations&rdquo;, Mathematics and Computers in Simulation,
vol. 28, no. 4, pp. 297 C 303, 1986.
[3] K. Nagel and M. Scheckenberg, &ldquo;A Cellular Automaton Model for
Freeway Traffic&rdquo;, J Phys I France, vol. 2, pp.2221-2229,1992.
[4] R. Barlovic and L. Santen, &ldquo;Metastable States in Cellular Automata for
Traffic Flow&rdquo;, Eur Phys J B, vol.5, no. 3, pp.793-800, 1998.
[5] M. Takayasu and H. Takayasu, &ldquo;1/f Noise in a Traffic Model&rdquo;, Factral,
vol.1, no. 5, pp.860-866, 1993.
[6] S.C. Benjamin, N.F. Johnson and P.M. Hui, &ldquo;Cellular automata models
of traffic flow along a highway containing a junction&rdquo;, J. Phys A, vol.29,
p.3119, 1996.
[7] D. E. Wolf, &ldquo;Cellular Automata for Traffic Simulations&rdquo;, Phys A, vol.
263, pp.438-451, 1999.
[8] M. Fukui and Y. Ishibashi, &ldquo;Traffic Flow in 1D Cellular Automata Model
Including CarsMoving with High Speed&rdquo;, Japan: J Phys Soc, vol.65, no.1,
pp.868-870,1996.
[9] T. Nagatani, &ldquo;Self-organization and phase transition in traffic-flow model
of a two-lane roadway&rdquo;, J. Phys. A: Math. Gen., vol. 26, p. L781, 1993.
[10] T. Nagatani, &ldquo;Dynamical jamming transition induced by a car accident
in traffic-flow model of a two-lane roadway,&rdquo; Physica A: Statistical
Mechanics and its Applications, vol. 202, no. 3-4, pp. 449 C 458, 1994.
[11] M. Rickert, K. Nagel, M. Schreckenberg and A. Latour, &ldquo;Two lane traffic
simulations using cellular automata,&rdquo; Physica A: Statistical Mechanics
and its Applications, vol. 231, no. 4, pp. 534 C 550, 1996.
[12] P. Wagner, K. Nagel, and D. E. Wolf, &ldquo;Realistic multi-lane traffic
rules for cellular automata,&rdquo; Physica A: Statistical Mechanics and its
Applications, vol. 234, no. 3, pp. 687 C 698, 1997.
[13] K. Nagel, D. E. Wolf, P. Wagner and P. Simon, &ldquo;Two-lane traffic rules
for cellular automata: A systematic approach,&rdquo; Pys Rev E, vol. 58, pp.
1425C1437, 1998.
[14] W. Knospe, L. Santen, A. Schadschneider and M. Schreckenberg, &ldquo;A
realistic two-lane traffic model for highway traffic,&rdquo; Journal of Physics
A: Mathematical and General, vol. 35, no. 15, p. 3369, 2002.</p>