This is normally used to obtain variations in speed over a stretch of road. Usually the stretch will be having a length more than 500 meters. We can also get speed ,travel time and delay. Speed and travel time are the most commonly used indicators of performance for traffic facilities and networks. Delays are often used to measure the performance of traffic flow at intersections.
Travel time is the elapsed time it takes for a vehicle to traverse a given segment of a street. Travel time studies provide the necessary data to determine the average travel time. Combined with the length of the corridor under study, this data can be used to produce average travel speed. Travel time and delay are two of the principal measures of roadway system performance used by traffic engineers, planners and analysts. Since vehicle speed is directly related to travel time and delay, it is also an appropriate measure-of-performance to evaluate traffic systems.
A study conducted to determine the amount of time required to traverse a specific route or section of a street or highway. The data obtained provide travel time and travel speed information but not necessarily delay. This term is often used to include speed and delay study. Travel time may be defined as the total elapsed time of travel, including stop and delay, necessary for a vehicle to travel from one point to another point over a specified route under existing traffic condition.
Delay is defined as an extra time spent by drivers against their expectation. Delay can have many forms depending on different locations. A study made to provide information concerning the amount, cause, location, duration and frequency of delay as well as travel time and similar value. The time lost by traffic due to traffic friction and traffic control device is called delay.
Moving-vehicle method: In this method, the observer moves in the traffic stream and makes a round trip on a test section. The observer starts at section, drives the car in a particular direction say eastward to another section, turns the vehicle around drives in the opposite direction say westward toward the previous section again. Let, the time in minutes it takes to travel east (from X-X to Y-Y) is ta, the time in minutes it takes to travel west (from Y-Y to X-X) is tw, the number of vehicles traveling east in the opposite lane while the test car is traveling west be ma, the number of vehicles that overtake the test car while it is traveling west be mo, and the number of vehicles that the test car passes while it is traveling west from be mp.
The volume (qw) in the westbound direction can then be obtained from the expression and \begin {equation*} qw=\frac {ma+mo-mp}{ta+tw} \end {equation*} the average travel time in the westbound direction is obtained from \begin {equation*} tw(avg)=tw-\frac {mo-mp}{qw} \end {equation*}
License Plate Method: when the amount of turning off and on the route is not great and only over all speed value are to be secured, the license-plate method of speed study may be satisfactorily employed. Investigator stationed at control point along the route enters, on a time control basis, the license-plate numbers of passing vehicles. These are compared from point to point along the route, and the difference in time values, through use of synchronized watches, is computed. This method requires careful and time-consuming office work and does not show locations, causes, frequency, or duration of delay. Four basic methods of collecting and processing license plates normally considered are:
Highway Capacity Manual 2000 or (Cycle- based method): This method is applicable to all under saturated signalized intersections. For over-saturated conditions, queue buildup normally makes the method impractical. The method described here is applicable to situations in which the average maximum queue per cycle is no more than about 20 to 25 veh/ln. When queues are long or the demand to capacity ratio is near 1.0, care must be taken to continue the vehicle-in-queue count past the end of the arrival count period, vehicles that arrived during the survey period until all of them have exited the intersection.as detailed below. This requirement is for consistency with the analytic delay equation used in the chapter text.method does not directly measure delay during deceleration and during a portion of acceleration, which are very difficult to measure without sophisticated tracking equipment. However, this method has been shown to yield a reasonable estimate of control delay.
The method includes an adjustment for errors that may occurred when this type of sampling technique is used, as well as an acceleration-deceleration delay correction factor Table 1. The acceleration-deceleration factor is a function of the typical number of vehicles in queue during each cycle and the normal free-flow speed when vehicles are unimpeded by the signal. Before beginning the detailed survey, the observers need to make an estimate of the average free-flow speed during the study period. Free-flow speed is the speed at which vehicles would pass unimpeded through the intersection if the signal were green for an extended period.be obtained by driving through the intersection a few times when the signal is green and there is no queue and recording the speed at a location least affected by signal control. Typically, the recording location should be upstream about mid-block. Table 2 is a worksheet that can be used for recording observations and computation of average time-in-queue delay
| Free-Flow Speed | \(\leq \) 7 Vehicles | 8-19 Vehicles | 20-30 Vehicles |
| \(\leq 60 km/h\) | 5 | 2 | 1 |
| 60-71 km/h | 7 | 4 | 2 |
| \(\ge \) 71 km/h | 9 | 7 | 5 |
Steps for data reduction
Multiply the correction factor by the fraction of vehicles stopping, and then add this product to the time-in-queue value of Step 2 to obtain the final estimate of control delay per vehicle.
A test was conducted to determine the delay in an intersection. Table 3 presents a sample computation on direct observation of vehicle-in-queue counts at the intersection. The traffic signal at the intersection operates with a cycle time of 115 sec. The test was conducted on the 2 lane road over a 15-min period, which is almost thirteen cycles . Count interval was 15-s. The total number of vehicle is 530 and the total number of stopped vehicle is 223. Assume the free flow speed to be 65 km/h and the empirical adjustment factor 0.9
No. Of Vehicles stopped per lane each cycle
\( V_{stop}{Nc\times N} = \frac {223}{7.8\times 2}=14\)
Fraction of vehicles stopping,
\(FVS=\frac {V_{stop}}{V_{tot}}= \frac {223}{530} = 0.42\)
Time-in-queue per vehicle ,
\(d_{vq} =(Is \times \frac {\Sigma V_{iq}}{V_{tot}})0.9=9.5 sec\)
Acc./Dec. correction delay,
\(dad=FVS \times CF=0.42 \times 4=1.7sec\)
Control delay/vehicle,
\(d=dvq+dad=11.2 sec\)
The information assembled as part of this travel time and delay study forms a baseline for future assessment. This study helps to determine the amount of time required to travel from one point to another on a given route. Often, information may also be collected on the locations, durations, and causes of delays. Good indication of the level of service and identifying problem locations
The on and off time (in sec) of a presence type detector are given below. Compute the flow in veh/hr, occupancy in percentage, density in veh/km, time mean speed and space mean speed in km/hr. Given that the duration of observation is 60 seconds, the length of the detector is 4 meters and the length of the vehicle is 5 meters.
| \(i\) | \(t_i^{on}\) | \(t_i^{off}\) |
| 1 | 7.11 | 7.34 |
| 2 | 16.47 | 17.13 |
| 3 | 26.10 | 26.47 |
| 4 | 36.54 | 37.31 |
| 5 | 43.20 | 43.56 |
| 6 | 55.00 | 55.42 |
I wish to thank several of my students and staff of NPTEL for their contribution in this lecture. I also appreciate your constructive feedback which may be sent to tvm@civil.iitb.ac.in. Prof. Tom V. Mathew, Department of Civil engineering, Indian Instiute of Technology Bombay, India.