veh/hr
km/hr
Ot & %
k & veh/km
Os & %
vs & vt
Traffic stream models
- involves: q, V average & k
- density (k) increases so velocity (v) decreases
- q = qmax (max flow)
- max k = kj = jam density
- q = 0
- no flow
- linear relationship in free flow state
- unstable near the capacity: q = qmax
- q =0 at k = 0 & k = k jam
- qmax at k = k max
- unstable in congested region
- 2k:q ratio
Challenges:
- Traffic congestion
- Accidents
- Air pollution
Causes:
- Urbanisation
- Economic growth
- Demand>Supply
- Incidents, weather, road works
- Land use distribution, public transport patronage
- Annual average daily traffic
- Annual daily traffic
h (with a dash) and unit = seconds
Peak Hour Factor
Free flow speed
= Average speed of vehicles under low flow conditions.
(When drives can drive at their desired speed and not constrained by other vehicles or traffic control devices)
- Effective vehicle length
- EVL = C + L
Delay = actual travel time - free flow travel time
the study of interactions between travellors & infrastructure
- travellors (pedestrians, cyclists, drivers & cars)
- infrastructure (highways, signage, traffic control devices)
Understanding and developing an optimal transport network
the development of relationships between the primary traffic stream variables (flow, density & speed)
traffic engineers in planning, design & operational evaluation of road networks
for eg: determine...
- length of turning bays at intersections
- delay experienced by travellers
- changes in road networks performance due to road improvement measures
- where flow, speed & density as traffic flow is treated in an aggregate manner
- at a low level of detail but, do satisfy physical law
- where results are not sensitive to microscopic details, for large network, real-time simulations.
- model devlopment time and resources are limited
- using microscopic models for individual vehicles (car following and lane changing models)
- high level of detail and more accurate than macroscopic
- significant high resolution data to calibrate and validate = costly to develop, execute and maintain compared to macroscopic
- high level of detail but lower than microscopic
- linear relationship in free-flow state
- unstable near the capactiy where q = qmax
- q = 0 at k =0 & k = kmax
- q is max at critical density, k = kmax
- two densities for each value of q
new form of transport in a certain location =
- more visitors/commutors in the area
- increased economical impacts (economic growth) due to thriving businesses
- more revenue for local businesses
- Local residents have more accessibility to further travel destinations
- increase in use of PT
- increase revenue for PT
- globally competitive
- community
- economic efficiency / multimodal infrastructure
(multimodal infrastructure is efficient and sustainable)
- Broader to a detailed approach
- Restricts inputs from commutors
- May not meet needs of users
- People are less likely to be involved if their needs are not heard
(Bottom up = detailed to broad approach)
Where:
- Location can vary depending on different suburbs with different household incomes
- Need to target both low and high income holding areas
When:
- Data collection time period needs to be in and out of peak hours
- So that not only 9-5 commutors benefit
How:
- Can focus not exclusively on the 9-5 corporate work life but also other travel sectors that use PT such as healthcare, education etc
- improved safety and connectivity
- improved journey time reliability
- easier freight movement
- boosting economic potential
- policies
- choices among alternative strategies
- priorities
- funding allocations
- transportation policy
- transportation study
- transportation design
- household data
- transport network data
- mode share
- land use and development
- employment hubs
= Traffic area zones
- smaller TAZ = more conjestion
- larger TAZ = less conjestion
- Trip purpose
- travel time
- personal safety
- time of day
Prioritising study area:
- location
- cordon line selection
Dara collection: when, where & how
Purpose of trips: when & where
- Trip generation
- Trip Distribution
- Modal Split
- Trip/Traffic Assignment