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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.

Reference texts (subject).



Question 4: Greenshields model and shock‑wave analysis of a stalled vehicle (20 marks)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

Given. One‑lane road; Greenshields linear speed–density model.

Given data
QuantityValue
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 duration4 min

Find. Jam density and density at capacity (a); platoon length at the instant of release (b); time for the platoon to clear (c).

204080k (veh/km)12001500q (veh/h)A (60 km/h, q=1200)C capacity (37.5 km/h)B jam (u=0)w(AB) = −20 km/hw(BC) = −37.5 km/h
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.

  1. 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 $k_j$:
    $$k_j=\frac{4\,q_{\max}}{u_f}=\frac{4(1500)}{75}=\boxed{80\ \text{veh/km}},\qquad k_m=\frac{k_j}{2}=\boxed{40\ \text{veh/km}}.$$
  2. Identify the traffic states. The three states that bound the shock waves are:
    $$A:\ k_A=20,\ q_A=k_Au_A=1200;\quad B:\ k_B=k_j=80,\ q_B=0;\quad C:\ k_C=40,\ q_C=1500.$$
    State $C$ is the capacity discharge that leaves the front of the queue once the vehicle moves.
  3. Back‑of‑queue shock wave (approach → jam).
    $$u_{AB}=\frac{q_B-q_A}{k_B-k_A}=\frac{0-1200}{80-20}=-20\ \text{km/h}$$
    (negative = travelling upstream). During the 4‑min stall the back of the stopped platoon moves upstream by
    $$L=|u_{AB}|\,\Delta t=20\left(\tfrac{4}{60}\right)=\boxed{1.33\ \text{km}}\ \ (\approx 107\ \text{stopped veh at }k_j).$$
    This is the platoon length the instant the vehicle regains power (b).
  4. Release (starting) shock wave (jam → capacity). When the lead vehicle moves, vehicles discharge at capacity (state $C$):
    $$u_{BC}=\frac{q_C-q_B}{k_C-k_B}=\frac{1500-0}{40-80}=-37.5\ \text{km/h}$$
    (the release front also moves upstream, but faster than the back of the queue).
  5. 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:
    $$\tau=\frac{L}{|u_{BC}|-|u_{AB}|}=\frac{1.333}{17.5}=0.0762\ \text{h}=\boxed{4.57\ \text{min}.}$$
Question 4 — results
QuantityResult
(a) Jam density $k_j$80 veh/km
(a) Density at capacity $k_m$40 veh/km
(b) Platoon length at release1.33 km (≈ 107 veh)
(c) Time to dissipate4.57 min after release

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.