Traffic Engineering

 

Description:
As a traffic engineer, you are assigned to evaluate the level of service of one intersection
near George Mason University Fairfax campus. The intersection is of Braddock Rd and the
Roberts Rd, and you can see the configuration of the intersection through Google Street Map
(https://www.google.com/maps/@38.8276404,-77.3008148,16.25z). One of your colleagues
went to the field and has collected the data using Jamar Counter (see Figure 2 at the end). The
data is summarized in Figure 1 below. Each arrow represents a unique turning movement (left,
through, and right) from each of the four approaches. For example, the south bound right has a
traffic volume of 97 veh/h.
Table 1 summarizes the current phase plan your colleague observed. It includes four phases
(E/W Left, E/W Through, N/S Left, and N/S Through) labeled in different colors. Although this
intersection is fully actuated and coordinated, for the practice, let us assume the current plan is a
fixed time plan with four phases.
Now, using this set of field data, you will first evaluate the level of service based on the current
phase plan observed by your colleague, and then resign it based on the Optimal Cycle length.
You will reevaluate the LOS under the new phase plan you design, and compare it with the
existing phase plan.
Figure 1: Traffic Data Collected at the Intersection.
Table 1: Current Phase Plan for the Intersection of Braddock Rd and Robert Rd.
Approach EB WB NB SB
Lane group LT T/R LT T/R LT T/R LT T/R
Effective Green (g) 12 133 12 133 15 34 15 34
Lost Time/phase 4
Total Lost Time 16
Cycle Length 210
Lab Tasks:
Field Observation
1. Assuming all traffic are passenger vehicles and the driving population are commuters,
convert the observed flow rate V into analysis flow rate v for different lane groups.
2. Following the procedure of the textbook, evaluate the LOS of this intersection using
collected data. Assume the saturation rate is 1800 veh/h/lane for through and right turning
lanes and 1750 veh/h/lane for left turning lanes (or the lane shared by the through and left
turning movements). In this problem, we assume that there is no standing queue at the
beginning of the red phase and all traffic can go through the intersection within one cycle.
You may apply the formula on page 255 for calculating d1 and you also need to consider
d2 in this analysis. The best way to approach this problem is to organize all information
in a table similar to Table 7.5.
a) What are the effective green time (g) and red time (r) for each phase?
b) What are the analysis flow rate for each lane group (from step 5)?
c) What are the g/C ratio, lane group capacity c, and volume capacity ratio X (please do
not confuse with flow ratio v/s (Y).
d) What are the average delay per vehicle for each lane group (d1)?
e) What are the average incremental delay per vehicle due to random arrival and
occasional oversaturation in seconds (d2)? In this study, we analyze LOS by
considering PHF. So T=0.25. We assume the intersection is pre-timed and take 0.5
for delay adjustment factor k. We assume the arrival pattern following Poisson
distribution and I=1.0. X is the v/c ratio for this lane group.
f) What are the lane group LOSs?
g) What are the average approach delays and approach LOSs?
h) What is the average intersection delay and intersection LOS?
Redesign the Intersection
3. As a traffic engineering, you are going to re-design the intersection using the procedure
in the textbook. First, apply the rules in the textbook to evaluate if a protected left turning
phase is warranted for the left turn movement for both the North-South and the East-West
directions.
4. You would follow the approach in Table 7.5. Assuming the saturation rate is 1800
veh/h/lane for through and right turning lanes and 1750 veh/h/lane for left turning lanes,
determine the flow ratio for all movements.
5. Assuming you do not change the phase plan, determine the critical lane groups and the
corresponding flow ratio. Calculate the optical cycle length with necessary assumptions
(ROUNDED UP to the nearest 5 seconds). Is it the same as the current plan?
6. Determine the effective green length allocation. Is it the same as the current plan?
7. Following the same approach, evaluate LOS if the intersection was using your phase
plan. Summarize your analysis using a table similar to Table 7.5. Does it change the
LOS?
Discussions
8. What are the factors that may help to explain the difference in LOS by using the existing
plan and your phase plan?
Template for Lab Report
A standard lab report should include a brief discussion about the objective of your study and a
detailed description of your approach. In this study, you need to describe both the data collection
approach and the analysis method. The list of tasks serves as a template for analysis method. At
the end, you need to summarize your findings and discuss the significance of your study. In this
study, you are expected to answer the question in task 13.
To make the report more succinct, please use graphs and tables whenever it is possible.
Figure 2: Example of Observation Loc

Sample Solution

This philosophy denotes that specific non-threatening gay identities, have become commercialised (Bell and Binnie, 2004), and as such integrated into presiding normative culture, a culture that is prejudicial toward anything that defies the stereotypical, idealised gay image; an image that is prioritised within both society and queer culture. As such, homonormativity sets hierarchal precedent of social norms and expectations, which reproduces heteronormative binaries and preferentialism but within an already oppressed community. This precedent can be examined through the different identities and sexual politics, such as gender-queer persons and their relational partners, queer race and ethnicities, and differing socio-economic class (Alexander and Yescavage, 2009). But there has been a shift from an identity politics to a more intersectional approach (Crenshaw, 1991; Peake, 2010). While it is important not to essentialise while discussing about intersectionality, as it discredits the prejudice and cumulative effect against individuals, it is also important to note the identity components that make up intersectional issues that attribute to the homonormative. These components are gender, sexuality, race, ethnicity, (dis)ability, aesthetical appearance, HIV status, class, and age (Parker and Aggleton 2003; Brown 2012; Held 2015) – while these may not be the traditional typologies of intersectionality laid out by Crenshaw (1991), there is nothing traditional about homonormativity, subjecting individuals to synergistic prejudice and oppression (Lewis, 2009) from inside the LGBTQ+ community.

This idea of the LGBT(Q+) people as a community is universally used within academia, journalism and everyday life, referring to collective groups of queer persons; the term community is used to reference a “group of people with something in common” (Middlemiss 2011, p.266), with the commonality being people identifying as something other than heterosexual. Thus, this imaginary of community collectivises individuals, and privileges unity over difference (Young, 1990), but it also has tendencies to standardise the community; this is problematic due to the discriminatory microaggression inequalities within the LGBTQ+ community, and as such exposing the false unifying umbrella which all ‘queers’ of all races, ethnicities and classes are shoved under, which homogenises struggles faced by many people who identify as queer (Anzaldùa, 1991). The idea of community is one that is often romanticised, but as the false unifying umbrella denotes, LGBTQ+ experience is not collective, it is highly individualised (Nash and Gorman-Murray, 2017), with different people discriminated against for different reasons, both inter and intra ‘community’.

Homonormativity has also aided into the commercialisation, and commodification of LGBTQ+ districts and villages into the urban realm, which aids in creating a diverse urban economy (Gibson-Graham, 2005), in which capitalism and homosexuality are aligned to create a place in which sexual identities can emerge. This has led to the gentrification of areas, for cities to market themselves as cosmopolitan, liberalised and gay friendly (Haslop et al., 1998), to attract new demographics of individuals, and theoretically be able to become a city which can foster the cr

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