Tool for Online Observing of Traffic Congestions

Wiseman, Yair

doi:10.14257/ijca.2017.10.6.04

Cited by 10 publications

(5 citation statements)

References 22 publications

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“…(3) e TVL duration bench mark or in ection point for PCE decreasing rate approach to zero varies from 20 to 30 minutes and few eir size also makes it impossible to come to a sudden stop. Moreover, those factors will also have impact on the lane congestion level detections [25][26][27], which in turn may also have impact on PCEs. However, due to the inability to mathematically model the weather related factors, they were ignored from this analytical study.…”

Section: Negative Exponentialmentioning

confidence: 99%

“…Wiseman [25][26][27] indicated in their research that light snow and heavy snow will have an impact on detecting congestion accuracy differently, light snow may over estimate congestion level while under heavy snow situation the congestion level can be estimated accurately. Considering if the LOS is collected under automatic monitoring system with such errors, then the PCE could be under-estimated.…”

Section: Negative Exponentialmentioning

confidence: 99%

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Measuring Passenger Car Equivalents (PCE) for Heavy Vehicle on Two Lane Highway Segments Operating Under Various Traffic Conditions

Lu¹,

Zheng

Tolliver

et al. 2020

Journal of Advanced Transportation

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Passenger Car Equivalent (PCE) is essential for transportation engineering to assess heavy vehicles’ (HV) impact on highway operations and capacity planning. Highway Capacity Manual 2010 (HCM 2010) used PCE values and percent of heavy vehicles to account the impacts on both highway planning and operation, however, PCE values in the latest version of HCM derived based on the steady and balanced two-lane-two-way (TLTW) traffic flows. The objective of the study is to identify PCE values for TLTW highway at various traffic volume with an emphasis on congestion conditions. This study introduces an analytical model, combining a headway-based and a delay-based algorithms, for estimating PCEs of HV on a TLTW highway. This study contributes to the literature by providing relationships among PCE, the traffic volume level (TVL) of both lanes, and the TVL duration on a TLTW highway. Traffic volume was categorized into five levels: TVL A (<250 pc/h), TVL B (250–375 pc/h), TVL C (375–600 pc/h), TVL D (600–850 pc/h), and TVL E (>850 pc/h). The results indicate that on a TLTW highway, the TVLs of both lanes and their durations have significant impact on PCE values. In general, PCE values increase as TVL duration increases. Trucks have much higher impacts on operation under unbalanced conditions of TVL A with D, TVL B with C, and TVL D with B, when duration time is greater than one hour. When both lanes are saturated, trucks’ effect on capacity diminishes over time, and PCE values are approaching to 1.0.

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Section: Negative Exponentialmentioning

confidence: 99%

Section: Negative Exponentialmentioning

confidence: 99%

Measuring Passenger Car Equivalents (PCE) for Heavy Vehicle on Two Lane Highway Segments Operating Under Various Traffic Conditions

Lu¹,

Zheng

Tolliver

et al. 2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

show abstract

“…The suggested incorporated system can be implemented in a dedicated chip [33] or in a remote manner [34] and can have many benefits for many objectives like better traffic flow [35,36,37] or carbon emissions mitigation [38].…”

Section: Discussionmentioning

confidence: 99%

Vehicle Identification by OCR, RFID and Bluetooth for Toll Roads

Wiseman¹

2018

IJCA

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Automatic payment in toll roads can improve the efficiency of the roads; however, errors in this payment can reduce the satisfaction of both the road users and the operators who will both have to waste time in order to sort out these mistakes. It is suggested to greatly minimize these mistakes by backup the recognition course of action of the license plates by using three different methods: RFID, Bluetooth and OCR in order to make recognition errors as seldom as possible.

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“…Vehicle's velocity can significantly vary from a vehicle creeping forward in a traffic jam [24,25,26] or a vehicle goes in an empty highway. The distance for a vehicle goes in 75 MPH to come to a full stop is approximately 250 feet; hence our system was designed to send strong enough signals that can last for more than 300 feet.…”

Section: Ultrasonic Rangefindermentioning

confidence: 99%

Ancillary Ultrasonic Rangefinder for Autonomous Vehicles

Wiseman¹

2018

IJSIA

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The latest fatal accidents of autonomous vehicle happened because of undetected peer vehicles or persons. These fatal accidents call attention to the rangefinder devices which are a very significant component of every autonomous vehicle. The rangefinder is the starting point for the decision whether the vehicle should continue to go, to stop, or bypassing an object. In this paper an ultrasonic based rangefinder device for autonomous vehicles is presented. The device can be used as an ancillary system in addition to standard LIDAR system used by almost all the autonomous vehicles, with the aim of overcoming the obstructions of conventional LIDAR systems.

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Tool for Online Observing of Traffic Congestions

Abstract: Abstract

Cited by 10 publications

References 22 publications

Measuring Passenger Car Equivalents (PCE) for Heavy Vehicle on Two Lane Highway Segments Operating Under Various Traffic Conditions

Measuring Passenger Car Equivalents (PCE) for Heavy Vehicle on Two Lane Highway Segments Operating Under Various Traffic Conditions

Vehicle Identification by OCR, RFID and Bluetooth for Toll Roads

Ancillary Ultrasonic Rangefinder for Autonomous Vehicles

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