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journey time indication system

Journey Time Monitoring Application

Congestion and its economic impact is one of the biggest challenges on our road networks today. Journey time monitoring across an integrated road network enables traffic managers to spot potential traffic build-up. Fluctuation in journey time is a strong indicator of a traffic problem, prompting further investigation of the local network and timely intervention.

Armed with accurate journey time information, road operators can make more informed decisions about diversions and times to conduct roadworks. Sharing this journey time information with users helps them to make more informed decisions about the best route for them to take. Knowing how long they are going to be held up in traffic reduces stress for drivers.

Traditionally, journey times have been generated using infrastructure at the side of the road. This is no longer necessary with virtual, crowdsource data providing more accurate journey times without the risk and expense of deploying infrastructure. This also reduces maintenance requirements and contributes to a more resilient road network.

Key Benefits

  • No requirement for hardware reduces road worker exposure to risk, ongoing maintenance, and costs
  • Dashboards and email alerts notify network managers of issues on the network, saving the time and expense of 24×7 monitoring
  • Advance reporting modules save network managers time and hassle of processing vast amounts of data.

Insight Journey Time Monitoring Application

Journey Time Monitoring Application Products

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Testimonials

The Insight Journey Time Monitoring application from Clearview has proven to be just the solution we needed to help our customers understand their journey to and through the Tyne Tunnels. The system produces very valuable and useful data for both TT2 and road users. Clearview has supported us in getting up and running with the system, which we are now using with confidence.

Kristian Fenwick Project Manager TT2

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>> World Road Association website

RNO/ITS - PIARC (World Road Association)

Road Network Operations & Intelligent Transport Systems A guide for practitioners!

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Journey Time Monitoring

Keeping track of vehicle journey times involves the measurement, interpretation and communication of vehicle detector data from multiple sources. Monitoring of journey times provides information necessary to determine the operational status of the network and level of service available to road users. ( See Measuring Performance )

It is important to build user confidence on the reliability of journey time predictions. In some instances data may not be delivered in a timely manner or may be incomplete or inaccurate. The accurate and timely delivery of journey time information contributes to:

  • informed travellers, able to make better decisions on choice of mode and route during pre-trip planning or en-route travel
  • informed public and private road operators, able to make better short and long-term plans for the management of their road networks
  • enabling incident detection and demand management measures

The purpose of journey time monitoring varies and depends on the objectives of the end user. For example:

  • if a public sector agency has subcontracted the responsibility for road operations and maintenance to a private contractor, then journey time measurement can indicate if the organisation is meeting its performance targets – and may impact on payments made
  • expected journey time to reach the end of a road section, an urban area or the entrance to a tunnel
  • expected arrival time of the next bus

Whilst journey time information is easy to understand, it is complex to calculate. Typically, a sensor network may include one or more types of detectors – each having different levels of accuracy, reporting rate, availability and reliability. Different methodologies and traffic models exist to aggregate real-time data, predict traffic conditions and calculate travel time information for the benefit of TCC managers and road users.

Trajectory measurement (tracking vehicle paths through a network from one point to another) and probe vehicles may be used to determine the travel time on road sections using various vehicle identification technologies. Examples are, toll tags and cameras that read a Vehicle Registration Mark ( VRM ).

The growth in the use of satellite navigation systems that can (with the consent of a user) provide speed and location information to third party service providers – adds to the level of detail of traffic information that may be provided to TCC staff and road users.

Complex and dense road networks provide greater challenges to measure and interpret data since each road segment is more closely interrelated with others compared to interurban roads. Combining data from different sources may be used to determine the operating status of a road network. The data collected must be reliable and the calculation algorithms must be accurate since end users will expect consistency between their experience on the journey and the information provided to them during the journey.

Technologies, Data and Resources

Many technologies provide the basis for systems that:

  • determine the travel time of vehicles on specific road links
  • calculate the journey time for the link
  • predict journey times for vehicles entering the link
  • provide the basis for average speed enforcement

A single static measurement point cannot provide travel time information and a detector network that is intended for simple detection and vehicle counting may not provide a suitable starting point for reliable journey time measurement. Additional information on vehicle speed and progress on the road network is needed:

  • combining spot speed measurement with probe vehicle data for journey time measurements
  • combining real-time measurements with historical data for interpretation and filling the gaps in data

The most reliable journey time calculations use historical information and spot speed measurements to improve estimates, particularly in dense urban environments with complex road networks, such as Hong Kong.( See Vehicle Detection , Probe Vehicle Measurement and Network Monitoring Application Areas )

Spot Speeds and Probe Vehicles

A combination of probe vehicle data and spot speed measurement can be used for journey time measurements. For example, capturing the identification signal from a small proportion of devices equipped with Bluetooth (in mobile phones and in-car audio systems) at different locations on the same link – enables the average speed on the link to be calculated as illustrated in the diagram below. This is done by dividing the distance between the detectors by the travel time measured over this distance. Alternatively Automatic Number Plate Recognition ( ANPR ) or Radio Frequency Identification ( RFID ) readers can be used to provide similar data.

Journey time measurement on a road section

Real-time and Historical Data

Combining real-time measurements of link speed with real-time measurement of spot speed and historical data from related links - enables journey times between measured points to be calculated and presented as reliable predictions to road users in real-time – and can be displayed using colour graphics, as in the photograph below.

Speed Map Panel System (SMPS) on Route 3 at Yuen Long, Hong Kong

Average Speed Enforcement

Average speed enforcement requires an accurate detection of the presence of identified vehicles at two locations separated by a known, precisely determined separation. This is illustrated below. Increasing the number of measuring points will increase the probability that the same vehicle (or in-vehicle device) will be seen elsewhere on the road network. If the measured speed is higher than a predetermined level (with an allowance for potential errors) the images captured are evidential-quality images and can be used to prosecute vehicle owners.

Average (point-to-point) speed cameras used on motorways

Advice to Practitioners

When deciding whether to invest in the infrastructure for journey time monitoring, issues to consider include:

  • the time and cost of installing detection equipment
  • the cost of providing power, maintenance and communications
  • the variety of channels from which information may be made available – such as roadside VMS , graphical display panels, the internet or mobile phones

Journey times may help identify incidents by comparing calculated values with historical information to allow prompt action to be taken. When designing the algorithms the effect of roadworks, unplanned incidents or planned events needs to be taken into account. This often requires local expertise on likely traffic behaviour.

Issues for developing economies

Traditionally static roadside detectors have been used for journey time measurement. As the quality and capability of mobile phones develops, there is an opportunity to use their location-based data capabilities to measure link speed without the cost of deploying and maintaining static detectors, drawing on:

  • location based services (for commercial and safety reasons)
  • satellite navigation systems (such as GPS , Galileo, Glonass or BeiDou2)

Where market penetration by mobile phones is low, or where there are low levels of traffic – static roadside journey time detectors will be needed. Manual monitoring of road links can provide real-time information on road network performance – but this method cannot reliably determine journey times without being supplemented by other measurements or by adopting a small proportion of probe vehicles (such as long-distance coaches).

US Federal Highways Administration (2011) Travel Time Data Collection Handbook pp5-4 to 5-5, http://www.fhwa.dot.gov/ohim/tvtw/natmec/00020.pdf

EasyWay Consortium (2012) Traffic Condition and Travel Time Information ITS Deployment Guideline, TIS-DG03-05, available for download at: http://dg.easyway-its.eu/DGs2012

Lam, W. (2013) Intelligent Transport Systems ( ITS ) In Hong Kong : Recent Development and Future Applications , The Hong Kong Polytechnic University

Case studies

All case studies for this subject.

  • PIARCTCB1_CS_EN_Travel time estimation with Bluetooth technology_2018-06_rev1

Reference sources

All links and references for this subject.

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Brand Hong Kong

     The Transport Department (TD) today (May 31) commissioned new journey time indicators installed in Kowloon and Eastern District on Hong Kong Island to provide motorists with more cross-harbour journey time information.      The expanded Journey Time Indication System (JTIS) comprises six sets of journey time indicators in Kowloon and one set in Eastern District at the following locations: Kowloon ------- * Ferry Street southbound near Charming Garden * Gascoigne Road eastbound near the Hong Kong Polytechnic University * Waterloo Road southbound near Kowloon Hospital * Princess Margaret Road southbound near Oi Man Estate * Chatham Road North southbound near Fat Kwong Street Playground * Kai Fuk Road northbound near the petrol stations Eastern District ---------------- * Island Eastern Corridor westbound near Lei King Wan      The JTIS assists motorists to make an informed route choice to cross the harbour before arriving at the critical diversion points by referring to the journey time information provided by the journey time indicators.      As with the existing three sets of journey time indicators on Hong Kong Island, the new journey time indicators display the average journey time, in minutes, from the location of the indicators to the exit of the respective tunnels.        The displayed digits are shown in three colours for different traffic conditions: red represents congested traffic, amber represents slow traffic and green represents smooth traffic.        The JTIS operates on a 24-hour basis and the displayed times are refreshed every two minutes.      The journey time information of the JTIS and deduced traffic speed of main roads on Hong Kong,  in Kowloon and the New Territories South have been uploaded to the TD's homepage (www.td.gov.hk) and PDA homepage (pda.td.gov.hk).      A new JTIS hotline is also in service to help the public with route planning.  The public can call 2804 2655 to listen to the latest journey time information of each journey time indicator of the JTIS.      Enquiries or comments on the JTIS can be made by calling 1823 or emailing [email protected] .

Ends/Monday, May 31, 2010 Issued at HKT 14:32 NNNN

  • Location of Journey Time Indicators and Related Routes (1)
  • Location of Journey Time Indicators and Related Routes (2)

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Measuring the benefits of flexible Journey Time Monitoring

Measuring the benefits of flexible Journey Time Monitoring

A new journey time monitoring system that can be set up in minutes to generate automatic traffic alerts for temporary and permanent routes has been launched by Clearview Intelligence.

Unlike traditional route monitoring systems which require hardwired roadside technology for Bluetooth or WIFI detection, Clearview Intelligence’s Journey Time Monitoring application utilises crowdsourced data. The system operates on a subscription basis where an operator ‘subscribes’ to a set number of routes.

This unique approach eliminates the need for roadside infrastructure meaning route monitoring can be set up in minutes and has the inbuilt flexibility to change routes according to the operator’s needs.

Paul Bates, Head of Product Management for Clearview Intelligence said: “Our Journey Time Monitoring application is more cost effective than traditional route monitoring systems because of its simplicity and flexibility. There are no costs or roadworker risks associated with installing and maintaining roadside technology; the application can be launched from the safety of a computer with operators receiving data within minutes rather than waiting for days for the system to be installed, configured and commissioned.

“This approach provides more choice for customers who were previously restricted by the need for roadside infrastructure. The application can be set up on a long-term basis for strategic road networks, or temporarily for incidents such as roadworks or events. And with automated alerts, it means instead of employing someone to watch CCTV in case of an incident, they can be deployed elsewhere in the business, offering better use of valuable resource.”

Crowdsourced data works by analysing the anonymous GPS-determined locations transmitted by mobile phone and satellite navigation users. In 12 months of testing across different road environments it was found that the crowdsourced data provided the same level of accuracy compared with traditional Bluetooth detection.

By inputting the coordinates of two locations, the Journey Time Monitoring application will use crowdsourced data to monitor the time taken to travel between the two points. If the time exceeds a pre-determined ‘normal’ travel time, an alert will generate to advise the operator of slowing or stationary traffic. This will allow immediate or long-term action to be taken to help alleviate congestion.

Measuring the benefits of flexible Journey Time Monitoring with Clearview Intelligence

All of the data, including the chosen routes, average travel times and alert intervals, can be input by the operator and changed at any point. The information can then be used to inform drivers of the time it takes to travel to the end destination using Variable Message Signs.

An additional feature of the Clearview Intelligence Journey Time Monitoring application is the ability to view the data as heatmap reports and graphs which are automatically generated. Using different colours, as chosen by the operator, to highlight normal or slowing traffic, reports quickly highlight periods of congestion which can be used to identify trends.

The reports and graphs are not only displayed within the browser but can also be exported to Excel and include the heatmaps as conditional formatting, formulas and Excel graphs linked to the included data. This enables users to analyse and report on the data offline without the need to spend time formatting data and creating charts manually

Paul Bates added: “The Journey Time Monitoring application is designed to be simple to use, cost effective and easy to analyse. The data can be used to evidence persistent issues on the highways network and be used to analyse the impact of roadworks or when planning future developments in the area.”

Post source : Clearview Intelligence Ltd

About The Author

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Anthony has worked in the construction industry for many years and looks forward to bringing you news and stories on the highways industry from all over the world.

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Google Maps 101: How AI helps predict traffic and determine routes

Sep 03, 2020

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Every day, over 1 billion kilometers are driven with Google Maps in more than 220 countries and territories around the world. When you hop in your car or on your motorbike and start navigating, you’re instantly shown a few things: which way to go, whether the traffic along your route is heavy or light, an estimated travel time, and an estimated time of arrival (ETA). While all of this appears simple, there’s a ton going on behind the scenes to deliver this information in a matter of seconds.

Today, we’ll break down one of our favorite topics: traffic and routing. If you’ve ever wondered just how Google Maps knows when there’s a massive traffic jam or how we determine the best route for a trip, read on. 

Live traffic, powered by drivers all around the world

When people navigate with Google Maps, aggregate location data can be used to understand traffic conditions on roads all over the world. But while this information helps you find current traffic estimates —whether or not a traffic jam will affect your drive right now —it doesn’t account for what traffic will look like 10, 20, or even 50 minutes into your journey. This is where technology really comes into play.

Predicting traffic with advanced machine learning techniques, and a little bit of history

To predict what traffic will look like in the near future, Google Maps analyzes historical traffic patterns for roads over time. For example, one pattern may show that the 280 freeway in Northern California typically has vehicles traveling at a speed of 65mph between 6-7am, but only at 15-20mph in the late afternoon. We then combine this database of historical traffic patterns with live traffic conditions, using machine learning to generate predictions based on both sets of data. 

Recently, we partnered with DeepMind, an Alphabet AI research lab, to improve the accuracy of our traffic prediction capabilities. Our ETA predictions already have a very high accuracy bar–in fact, we see that our predictions have been consistently accurate for over 97% of trips. By partnering with DeepMind, we’ve been able to cut the percentage of inaccurate ETAs even further by using a machine learning architecture known as Graph Neural Networks–with significant improvements in places like Berlin, Jakarta, São Paulo, Sydney, Tokyo, and Washington D.C. This technique is what enables Google Maps to better predict whether or not you’ll be affected by a slowdown that may not have even started yet ! 

Keeping it fresh

For most of the 13 years that Google Maps has provided traffic data, historical traffic patterns have been reliable indicators of what your conditions on the road could look like—but that's not always the case. Since the start of the COVID-19 pandemic, traffic patterns around the globe have shifted dramatically. We saw up to a 50 percent decrease in worldwide traffic when lockdowns started in early 2020. Since then, parts of the world have reopened gradually, while others maintain restrictions. To account for this sudden change, we’ve recently updated our models to become more agile—automatically prioritizing historical traffic patterns from the last two to four weeks, and deprioritizing patterns from any time before that.

How Google Maps selects routes

Our predictive traffic models are also a key part of how Google Maps determines driving routes. If we predict that traffic is likely to become heavy in one direction, we’ll automatically find you a lower-traffic alternative. We also look at a number of other factors, like road quality. Is the road paved or unpaved, or covered in gravel, dirt or mud? Elements like these can make a road difficult to drive down, and we’re less likely to recommend this road as part of your route. We also look at the size and directness of a road—driving down a highway is often more efficient than taking a smaller road with multiple stops.

Two other sources of information are important to making sure we recommend the best routes: authoritative data from local governments and real-time feedback from users. Authoritative data lets Google Maps know about speed limits, tolls, or if certain roads are restricted due to things like construction or COVID-19 . And incident reports from drivers let Google Maps quickly show if a road or lane is closed, if there’s construction nearby, or if there’s a disabled vehicle or an object on the road. Both sources are also used to help us understand when road conditions change unexpectedly due to mudslides, snowstorms, or other forces of nature.

Putting it all together

So how exactly does this all work in real life? Say you’re heading to a doctor’s appointment across town, driving down the road you typically take to get there. When you leave the house, traffic is flowing freely, with zero indication of any disruptions along the way. With Google Maps’ traffic predictions combined with live traffic conditions, we let you know that if you continue down your current route, there’s a good chance you’ll get stuck in unexpected gridlock traffic about 30 minutes into your ride—which would mean missing your appointment. As a result, Google Maps automatically reroutes you using its knowledge about nearby road conditions and incidents—helping you avoid the jam altogether and get to your appointment on time.

Predicting traffic and determining routes is incredibly complex—and we'll keep working on tools and technology to keep you out of gridlock, and on a route that's as safe and efficient as possible.

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IMAGES

  1. Journey time :: Multi function display (vehicles without a genuine

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  2. Virtual Journey Time

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  3. Journey time against distance for different signalling systems

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  4. Your Complete Guide to Patient Journey Mapping

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  5. Customer Journey Map Example

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  6. Systems Thinking Tool: Journey Mapping

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COMMENTS

  1. Transport Department

    The Journey Time Indication System on Hong Kong Island was commissioned in 2003 and expanded to Kowloon in 2010 to provide the estimated journey times to the exits of respective tunnels from Hong Kong Island to Kowloon and vice versa. The System was further expanded in 2020 to provide the estimated journey times of some strategic routes and ...

  2. PDF Transport Department

    Journey Time Indication System

  3. Journey Time Monitoring Application

    Fluctuation in journey time is a strong indicator of a traffic problem, prompting further investigation of the local network and timely intervention. Armed with accurate journey time information, road operators can make more informed decisions about diversions and times to conduct roadworks. ... The system produces very valuable and useful data ...

  4. Transport Department

    The journey time indication system provides the journey time information of different routes and assist you to make an informed route choice before arriving at the critical diversion points. The displayed digits on the journey time indicators are shown in three colours for different traffic conditions: red represents congested traffic, amber ...

  5. Definition of speed heterogeneity (JTIS: Journey Time Indication System

    Download scientific diagram | Definition of speed heterogeneity (JTIS: Journey Time Indication System). from publication: Calibration of stochastic link-based fundamental diagram with explicit ...

  6. Electrical and Mechanical Services Department

    Journey Time Indication System Hong Kong will soon see the pilot implementation of a journey time indication system (JTIS), the first of its kind in the territory. The project aims to provide drivers with an indication of the actual traffic conditions, and the estimated journey time required, on the three different cross-harbour routes, from ...

  7. Journey Time Monitoring

    Monitoring of journey times provides information necessary to determine the operational status of the network and level of service available to road users. ( See Measuring Performance) It is important to build user confidence on the reliability of journey time predictions. In some instances data may not be delivered in a timely manner or may be ...

  8. Journey Time Indication System to keep motorists informed

    Unveiling the Journey Time Indication System at a press conference, Assistant Commissioner for Transport, Mr Alex WT Yeung, today (June 19) said: "The first set of on-site indicators of JTIS will be commissioned at Gloucester Road Eastbound (outside Revenue Tower) on June 21.

  9. Journey time indication system expands

    The system operates on a 24-hour basis and the displayed times are refreshed every two minutes. The journey time information have been uploaded to the department's website and PDA site. Call 2804 2655 to listen to the latest journey time information of each journey time indicator. Enquiries can be made by calling 1823. Go To Top

  10. PDF For discussion on 24 March 2006 Legislative Council Panel on Transport

    Expansion of Journey Time Indication System to Kowloon PURPOSE This paper seeks Members' view on the proposal to expand the existing Journey Time Indication System (JTIS) on Hong Kong Island (JTIS Hong Kong) to Kowloon (JTIS Kowloon). BACKGROUND 2. In 2003, we implemented the JTIS Hong Kong to inform

  11. PDF LEGISLATIVE COUNCIL PANEL ON TRANSPORT Transport Information System

    Transport Information System & Journey Time Indication System PURPOSE At the Panel meeting held on 16 March 2001, Members were advised in the paper on "Application of IT to Transport Management" that, under the Intelligent Transport Systems (ITS) Strategy, two projects, i.e. Transport Information System and Journey Time Indication System

  12. Journey Time Indication System expanded to Kowloon and Eastern ...

    A new JTIS hotline is also in service to help the public with route planning. The public can call 2804 2655 to listen to the latest journey time information of each journey time indicator of the JTIS. Enquiries or comments on the JTIS can be made by calling 1823 or emailing [email protected] . Ends/Monday, May 31, 2010 Issued at HKT 14:32 NNNN

  13. PDF Legislative Council Panel on Transport Installation of Additional

    Speed Map Panel and Journey Time Indication Systems PURPOSE This paper seeks Members' views on the following proposals: (i) installation of some 520 sets of traffic detectors on strategic s1 route and major roads to enhance the efficiency of traffic and incident management; and

  14. Journey time estimator for assessment of road network ...

    Journey Time Indication System in Hong Kong. However, due to the limitation of resources in practice, the number of AVI readers cannot cover each path in the territory-wide road network of Hong Kong. Therefore, only partial path segments in the Hong Kong road network are installed with AVI readers for journey time estimation purpose. In view of ...

  15. Application of automatic vehicle identification technology for real

    In Hong Kong, a Journey Time Indication System (JTIS) was introduced in mid-2003. This system provides current traffic conditions in terms of journey times via displays on three gantry signs near major roads along Hong Kong harbour side. The estimated journey times are calculated by using speed detection cameras, which captured spot speeds on ...

  16. Measuring the benefits of flexible Journey Time Monitoring

    A new journey time monitoring system that can be set up in minutes to generate automatic traffic alerts for temporary and permanent routes has been launched by Clearview Intelligence. Unlike traditional route monitoring systems which require hardwired roadside technology for Bluetooth or WIFI detection, Clearview Intelligence's Journey Time ...

  17. Real-time estimation of multi-class path travel times using multi

    RFID technology uses electromagnetic fields to automatically identify RFID tags; i.e., RFID-tagged vehicles are identified when they pass RFID tag readers fixed at the roadside or under footbridges. This technology is applied in the Journey Time Indication System (JTIS) and the current tolling system of urban road networks in Hong Kong.

  18. Google Maps 101: How AI helps predict traffic and determine routes

    Two other sources of information are important to making sure we recommend the best routes: authoritative data from local governments and real-time feedback from users. Authoritative data lets Google Maps know about speed limits, tolls, or if certain roads are restricted due to things like construction or COVID-19. And incident reports from ...

  19. New Automatic Incident Detection Algorithm Based on Traffic Data

    AbstractA new automatic incident detection algorithm based on the available data originally collected for journey time estimation in Hong Kong is proposed in this paper. ... and Lam, W. H. K. (2011). "Validation of instantaneous journey time estimation: A journey time indication system in Hong Kong." Proc., 9th. Int. Conf. of the Eastern ...

  20. Reliability-based journey time prediction via two-stream deep learning

    Traffic data were obtained from the Hong Kong Journey Time Indication System operated by the Hong Kong Transport Department during January 1 to December 31, 2017. The data related to rainfall ...

  21. Validation of Instantaneous Journey Time Estimates : A Journey Time

    The results show that the proposed method can validate the instantaneous path journey time estimates satisfactorily with adequate sample sizes at a significant level statistically. Current traffic information such as instantaneous journey time estimates are usually provided to road users in advanced traveler information systems. However, it is difficult to validate these instantaneous journey ...

  22. PDF Supplementary Note Transport Information System and Journey Time

    expected that the average trip time saving would be about 5 minutes per trip for these 46,500 non-regular trips per day. 6. Based on the values of time adopted in the Third Comprehensive Transport Study which was completed in 1999, the weighted average value of time of motorists is $1.7 per minute. Using 250 working days a year, the

  23. Texas executes Ivan Cantu who claims he's innocent

    Faith leaders and jurors from the original trial launched a public campaign to reconsider recanted testimony in Cantu's case. Texas courts declined. Ivan Cantu poses for a photo on Jan. 31, 2024 ...

  24. Journey time estimator for assessment of road network performance under

    This paper proposes a journey time estimator (JTE) to estimate the stochastic journey time of each path for performance assessment in road network with uncertainty due to day-to-day demand variations. The stochastic network framework is adopted in this paper, in which link flows and path journey times are modeled as random variables so as to fully utilize the first- and the second-order ...