16-Civ-A6 Highway Design, Construction, and Maintenance · May 2013
Question 4 of 7: Greenshields model and shock‑wave analysis of a stalled vehicle
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
Paper format. National Examination, 98‑Civ‑A6 Transportation Planning & Engineering (May 2013). Closed book, one two‑sided aid sheet, 3 hours. Seven questions; any five constitute a complete examination and each is of equal value (20 marks). All seven are solved below as a study resource.
Given. One‑lane road; Greenshields linear speed–density model.
Given data
Quantity
Value
Free‑flow speed, $u_f$
75 km/h
Capacity, $q_{\max}$
1500 veh/h
Approach (normal) speed, $u_A$
60 km/h
Approach (normal) density, $k_A$
20 veh/km
Stall duration
4 min
Find. Jam density and density at capacity (a); platoon length at the instant of release (b); time for the platoon to clear (c).
Greenshields flow–density parabola. State $A$ is the approaching traffic (20 veh/km, $q=1200$), state $B$ is the stopped jam ($k_j=80$, $q=0$), state $C$ is capacity discharge (40 veh/km, 1500 veh/h). Each chord slope is a shock‑wave speed.
Approach. Fit Greenshields to get the jam density from the capacity, identify the three traffic states (approach, jam, capacity discharge), then use the shock‑wave speed $u_w=\Delta q/\Delta k$ for the back‑of‑queue and release waves.
Jam density and density at capacity (a). For Greenshields $q=u_f\,k(1-k/k_j)$ the capacity occurs at $k=k_j/2$ with $q_{\max}=u_f k_j/4$. Solving for $k_j$:
(the release front also moves upstream, but faster than the back of the queue).
Time to dissipate (c). After release the back of the queue keeps retreating at 20 km/h while the release front advances into the queue at 37.5 km/h; the platoon clears when the release wave overtakes the back‑of‑queue wave. Their closing speed is $37.5-20=17.5$ km/h across the 1.33 km platoon:
Check / assumption: The stated normal point (60 km/h, 20 veh/km, so $q=1200$ veh/h) does not lie exactly on the Greenshields curve fitted to $u_f=75$ and $q_{\max}=1500$ (which would give $u=56.25$ km/h at 20 veh/km). This is the usual idealization mismatch; the approach state $A$ is taken from the measured flow (1200 veh/h) because that is the traffic actually feeding the queue, while $k_j$ and $k_m$ come from the fitted model parameters, as the question directs.