scholarly journals Keynote Speech: Technologies for Smart Transportation

Author(s):  
Anusha S.P.

The application of ITS is in an infant stage in India. The traffic stream in the western countries are lane based in nature with the major traffic composition including cars and a fewer percentage of trucks, which makes the data collection from the detectors less challenging. However, the Indian traffic being composed of different varieties of vehicles such as two-wheelers, three-wheelers, cars, buses and trucks moving without any lane disciplines makes the data collection a challenging task. Identification of suitable sensors for data collection under Indian traffic conditions by itself is a challenge. Numerous researches are currently being carried out to analyse the effectiveness of sensors for data collection under Indian traffic conditions such as Bluetooth sensors, Wi-Fi sensors, RFID sensors etc.

Author(s):  
Harish Kumar Saini ◽  
Subhadip Biswas

Information of lateral placement and lane indiscipline are useful in simulation of a mixed traffic stream and identifying the distressed portion of a pavement. In spite of these utilities, inadequate investigation was made to estimate the lateral placement of vehicles under prevailing traffic conditions. In a typical mixed traffic situation, vehicles having different static and dynamic characteristics take any lateral gap across the carriageway left empty by other surrounding vehicles and move in an untidy manner. It leads to variation in lateral placement of vehicles governed by the subject vehicle type. This paper explores the potential factors that influence lateral placement of vehicles and presents an Artificial Neural Network based approach to quantify lateral placement and lane indiscipline in context of undivided urban roads. Further, sensitivity analysis revealed how different traffic parameters like traffic volume, traffic composition and directional split influence lateral placement and lane indiscipline of a vehicle category.


2020 ◽  
pp. 1-10
Author(s):  
Giuseppe Cantisani

This study examines drivers’ behavior on acceleration lanes, close to the convergence between the main and the secondary traffic streams, by means of traffic micro-simulations. Experimental data collected videotaping two acceleration lanes in Italy have been used to initially calibrate a simulation model and to validate it subsequently. The analyses had focused on both vehicles coming from the on-ramp, in terms of entrance points dispersion into the main traffic stream along the acceleration lanes, merging speeds, and acceleration rates reached, and on vehicles driving on the freeway right lane, in terms of vehicles categories, traffic volumes, and speeds. The maneuvers have been implemented in the TransModeler traffic simulation package and several scenarios have been considered, changing the traffic composition and the speeds at which drivers enter the acceleration lane from time to time. This led to obtain a large number of case studies, where the mutual influence between the two flows combined with the vehicle performances and the psychophysical characteristics of drivers, have led to an initial evaluation of the main variables in respect of which the required length for the specialized lanes depends. Road design guidelines’ standards have been later compared to what was observed in reality and it can be claimed that the microscopic traffic model in some cases confirms the standards of road design guidelines while, in other cases, contradicts them.


2017 ◽  
Vol 21 ◽  
pp. 564-572
Author(s):  
Rodica Dorina Cadar ◽  
Rozalia Melania Boitor

The paper presents an extensive theoretical background related to the travel time and the studies that were conducted during the recent years on the subject. As a concept, travel time is related to the period of time spent in travelling between two different points in space. The analysis focuses on several aspects related to the travel time concept such as its usefulness, its influencing factors, and data collection methods for its determination. In order to also provide a practical outcome, the main interurban road connection between Cluj-Napoca and Tîrgu-Mureş was studied. The road trespasses both urban and rural localities in the North-Western of Romania. For the data collection process, a GPS-based equipment was placed on a test vehicle to run the route for multiple times, at different days and hours. The collected data were studied by means of statistical analysis in order to establish the most relevant aspects of the travel time. The research goal of the paper was to evaluate the influence exerted by demographics and type of locality on travel time by means of eventual delays. The main findings were employed to analyze the traffic conditions as well as the parameters that have a major impact on them. According to the results of the analysis, the traffic flow on the interurban route is best described by the travel time and consequently the delays registered due to multiple obstructive elements such as railway level crossings, pedestrian crossings within the localities, and level intersections between different roads category. However, according to the study, it can also be concluded that travel time and therefore the eventual delays are not influenced to a great extent by neither the type of transited localities - urban or rural, nor the demographics.


Author(s):  
Gerald L. Ullman

Research conducted to explore the effects of natural diversion on traffic conditions and travel patterns upstream of temporary work zone lane closures on high-volume urban freeways in Texas is described. Specific objectives were to explore how natural diversion affects traffic volumes at the exit and entrance ramps upstream of the lane closures and the interrelationships between the freeway and frontage road operating conditions that develop at a closure and the amount of natural diversion that occurs. The field studies showed that the rate of queue growth upstream of the short-term lane closures diminished significantly after the first hour at each site. Eventually, the queues approached a balanced state in which the upstream end of the queue became almost stationary. This stabilization was due to significant reductions in entrance ramp volumes both upstream of the freeway queue and within the limits of queuing, as well as to changes in exit ramp volumes within the queue. As a result of these ramp volume changes the constrained flow rate within the queue increased as a function of the distance upstream of the actual lane closure. Using the theory of shock waves in a traffic stream it was shown that the changes in ramp volumes and resulting impact on constrained freeway flow rates within the queue were consistent with the queue stabilization process observed at each site.


2003 ◽  
Vol 1852 (1) ◽  
pp. 175-182 ◽  
Author(s):  
V. Thamizh Arasan ◽  
Shiraj Hussain Kashani

The quality of progression of a road traffic stream is one of the critical characteristics that must be quantified for operational analysis of traffic signals, particularly on urban roads. The parameter that has been found to best describe this characteristic of traffic streams is the arrival type. Though precise quantification of arrival type has been found to be difficult, the platoon ratio is a useful measure for this purpose. Thus, the quality of arrival of a traffic stream can be assessed by knowing the corresponding value of the platoon ratio. Study of arrival type over a wide range of traffic characteristics warrants theoretical modeling of traffic flow. In the study reported, an attempt was made to model heterogeneous traffic flow using an innovative technique. The developed model was used to study the arrival type of traffic streams, queue accumulation, and queue dissipation on approaches to traffic signals. The dispersal pattern of traffic platoons after vehicles pass a traffic signal was studied in detail. The effect of variation in traffic composition on traffic platoons was also analyzed.


2012 ◽  
Vol 39 (10) ◽  
pp. 1145-1155 ◽  
Author(s):  
Ciprian Alecsandru ◽  
Sherif Ishak ◽  
Yan Qi

Truck lane restriction and differential speed limits for trucks and passenger cars are becoming more common policies to improve freeway operations and safety. The most recent edition of the Highway Capacity Manual (HCM) recognizes that the passenger car equivalent (ET) values may differ with various traffic conditions, but does not explicitly address how ET values may be impacted by truck lane restrictions or differential speed limit policies. This study developed a flow-based methodology to determine ET for trucks under truck lane restriction policies and different levels of demand and traffic composition. A simulation model (VISSIM) was calibrated to reproduce ET in HCM on a level terrain freeway segment and then used to simulate various scenarios to capture the effect of demand flow rate, truck percentage, and compliance ratio to lane restriction, all under the enforcement of differential speed limit policy. The results showed that ET increases as the compliance ratio increases, regardless of the truck percentage and demand flow rate. For a given traffic flow rate, ET decreases as the truck percentage increases. Moreover, regardless of the compliance ratio to lane restriction and the truck percentage, ET increases with the demand flow rate. The statistical analysis revealed that the truck percentage has a significant effect on ET for most cases, except when the truck percentage exceeds 30%. The results also showed significant differences in ET for all demand flow rates at 95% confidence level. The study also developed linear regression models for each level of service to estimate the value of ET as a function of the truck percentage and compliance ratio.


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