Tool for Measuring Travel Time and Delay on Arterial Corridors

Quiroga, Cesar; Perez, Michael A.; Venglar, Steve

doi:10.1061/40632(245)76

Cited by 5 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A downside to this technology is that a wireless telecommunication connection (e.g. through a cell phone) is required for the transfer of information from the vehicle to the TMC [56].…”

Section: Area-wide Sensorsmentioning

confidence: 99%

A Synthesis of emerging data collection technologies and their impact on traffic management applications

Antoniou

Balakrishna²,

Koutsopoulos

2011

Eur. Transp. Res. Rev.

View full text Add to dashboard Cite

Purpose The objective of this research is to provide an overview of emerging data collection technologies and their impact on traffic management applications. Methods Several existing and emerging surveillance technologies are being used for traffic data collection. Each of these technologies has different technical characteristics and operating principles, which determine the types of data collected, accuracy of the measurements, levels of maturity, feasibility and cost, and network coverage. This paper reviews the different sources of traffic surveillance data currently employed, and the types of traffic management applications they may support. Results Automated Vehicle Identification data have several applications in traffic management and many more are certain to emerge as these data become more widely available, reliable, and accessible. Representative examples in this field are presented. Furthermore, the fusion of condition information with traffic data can result in better and more responsive dynamic traffic management applications with a richer data background. ConclusionsThe current state-of-the-art of traffic modeling is discussed, in the context of using emerging data sources for better planning, operations and dynamic management of road networks.

show abstract

“…A downside to this technology is that a wireless telecommunication connection (e.g. through a cell phone) is required for the transfer of information from the vehicle to the TMC [56].…”

Section: Area-wide Sensorsmentioning

confidence: 99%

A Synthesis of emerging data collection technologies and their impact on traffic management applications

Antoniou

Balakrishna²,

Koutsopoulos

2011

Eur. Transp. Res. Rev.

View full text Add to dashboard Cite

show abstract

“…However, this method requires additional equipment on the vehicle and is not very well suited for real-time operations because the data are collected in the in-vehicle unit and need to be transmitted to a central server for processing. GPS add-ons for wireless personal digital assistants overcome this problem, but the cost increases to impractical levels (for wide applications) and the cooperation of the driver is needed (7).…”

Section: In-vehicle Gps Receiversmentioning

confidence: 99%

Incorporating Automated Vehicle Identification Data into Origin-Destination Estimation

Antoniou

Ben‐Akiva

Koutsopoulos

2004

Transportation Research Record

View full text Add to dashboard Cite

A methodology for the incorporation of automated vehicle identification (AVI) data into origin-destination (O-D) estimation and prediction is presented. AVI technologies facilitate the collection of useful data, such as point-to-point travel times and subpath flows. A framework for the incorporation of AVI data into the well-established O-D estimation and prediction process is presented. Improvements are proposed for both the formulation and the inputs to the O-D estimation and prediction model. Furthermore, as the O-D estimation and prediction process is often used in the traffic estimation and prediction context, approaches to the incorporation of AVI data into other areas of the dynamic traffic assignment framework are outlined. Performance and computational issues are also considered, and the results of a case study are presented to demonstrate the approach.

show abstract

“…Some research efforts also focused on the assessment of public transport infrastructures (Bullock, P. and Jiang, Q. 2003;Greaves et al 2014); traffic flows and similar phenomena (Quiroga et al 2002), analysis of individual travel behaviour patterns (Broach et al 2012) and evaluation of policies (Stopher et al 2009). Several studies have compared the quality of GPS data with phone and paper recall surveys and traditional travel diaries to find underreporting in the latter (Casas & Arce, 1999;Murakami & Wagner, 1999;Kelly et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Mode choice with latent availability and consideration: Theory and a case study

Calastri

Hess

Choudhury

et al. 2019

Transportation Research Part B: Methodological

View full text Add to dashboard Cite

Over the last two decades, passively collected data sources, like Global Positioning System (GPS) traces from data loggers and smartphones, have emerged as a very promising source for understanding travel behaviour. Most choice model applications in this context have made use of data collected specifically for choice modelling, which often has high costs associated with it. On the other hand, many other data sources exist in which respondents' movements are tracked. These data sources have thus far been underexploited for choice modelling. Indeed, although some information on the chosen mode and basic socio-demographic data is collected in such surveys, they (as well as in fact also some purpose collected surveys) lack information on mode availability and consideration. This paper addresses the data challenges by estimating a mode choice model with probabilistic availability and consideration, using a secondary dataset consisting of 'annotated' GPS traces. Stated mode availability by part of the sample enabled the specification of an availability component, while the panel nature of the data and explicit incorporation of spatial and environmental factors enabled estimation of latent trip specific consideration sets. The research thus addresses an important behavioural issue (explicit modelling of availability and choice set) in addition to enriching the data for choice modelling purposes. The model produces reasonable results, including meaningful value of travel time (VTT) measures. Our findings further suggest that a better understanding of modes choices can be obtained by looking jointly at availability, consideration and choice.

show abstract

Tool for Measuring Travel Time and Delay on Arterial Corridors

Cited by 5 publications

References 0 publications

A Synthesis of emerging data collection technologies and their impact on traffic management applications

A Synthesis of emerging data collection technologies and their impact on traffic management applications

Incorporating Automated Vehicle Identification Data into Origin-Destination Estimation

Mode choice with latent availability and consideration: Theory and a case study

Contact Info

Product

Resources

About