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Congested Traffic States in Empirical Observations and Microscopic Simulations

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We present data from several German freeways showing different kinds of congested traffic forming near road inhomogeneities, specifically lane closings, intersections, or uphill gradients. The states are localized or extended, homogeneous or oscillating. Combined states are observed as well, like the coexistence of moving localized clusters and clusters pinned at road inhomogeneities, or regions of oscillating congested traffic upstream of nearly homogeneous congested traffic. The experimental findings are consistent with a recently proposed theoretical phase diagram for traffic near on-ramps [D. Helbing, A. Hennecke, and M. Treiber, Phys. Rev. Lett. {\bf 82}, 4360 (1999)]. We simulate these situations with a novel continuous microscopic single-lane model, the ``intelligent driver model'' (IDM), using the empirical boundary conditions. All observations, including the coexistence of states, are qualitatively reproduced by describing inhomogeneities with local variations of one model parameter. We show that the results of the microscopic model can be understood by formulating the theoretical phase diagram for bottlenecks in a more general way. In particular, a local drop of the road capacity induced by parameter variations has practically the same effect as an on-ramp.

Martin Treiber, Ansgar Hennecke, Dirk Helbing• 2000

Related benchmarks

TaskDatasetResultRank
Closed-loop PlanningnuPlan 14 (val)
NR Score75.6
66
Closed-loop PlanningnuPlan 14 Hard (test)
NR56.15
64
Closed-loop PlanningnuPlan 14 (test)
NR70.39
45
PlanningnuPlan 14 Random (test)
CLS-NR0.704
40
Closed-loop PlanningnuPlan random 14 (test)
NR70.39
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PlanningnuPlan 14 Hard (test)
CLS-NR56.2
23
Closed-loop PlanninginterPlan
Score31.2
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Closed-loop PlanningnuPlan (val14)
CA90.9
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Trajectory PlanninginterPlan
interPlan Score31
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Open-loop planningnuPlan 14 (val)
OLS38
9
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