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  • Mobility and traffic research  (12)
  • 1
    Online Resource
    Online Resource
    Lake Champlain Bridge Emergency Replacement Project
    SAGE Publications ; 2013
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2347, No. 1 ( 2013-01), p. 107-114
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2347, No. 1 ( 2013-01), p. 107-114
    Abstract: The Lake Champlain Bridge, also known as the Crown Point Bridge, was a historic steel truss bridge stretching 2,187 ft across Lake Champlain and connecting the rural communities of Crown Point, New York, and Chimney Point, Vermont. It opened in 1929 with then New York Governor Franklin D. Roosevelt at the ribbon cutting ceremony. Since then, the bridge has served as a vital economic link between communities, which share hospitals and fire departments, as well as a link to the past. But by 2009, the bridge had reached 80 years of service life, and a study was conducted to determine the need for possible major rehabilitation or replacement. Together with the Vermont Agency of Transportation, FHWA, and the HNTB Corporation design team, the New York State Department of Transportation used emergency standby contracts and an accelerated design–bid–build process to develop a plan to demolish the original truss bridge in little more than 2 months, construct a temporary ferry service, and design and erect a new signature crossing in little more than 2 years. The new Lake Champlain Bridge opened November 7, 2011, by using a dynamic design–bid–build process that could become a model for the nation.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2347-12
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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  • 2
    Online Resource
    Online Resource
    Identifying Important Roadway Corridor Factors which Affect Crashes Influenced by Unsafe Driving Behaviors to Help Law Enforcement Proactively Reduce Crashes
    SAGE Publications ; 2024
    In:  Transportation Research Record: Journal of the Transportation Research Board
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications
    Abstract: Effective allocation of traffic law enforcement officers can proactively reduce crashes by stopping unsafe drivers before crashes occur, but this can be difficult because of staffing limitations. Therefore, it is important to identify roadway factors that could encourage unsafe driving behaviors so appropriate proactive enforcement methods can be taken. In this paper, signalized arterial roadway corridors in Florida are modeled to identify the important factors that affect the crash rate for seven unsafe driving behaviors. Using a standardized corridor definition, 406 corridors in seven urban Florida counties were identified. These corridors contained 18,518 crashes, including 5053 fatal and injury (FI) crashes, from 2017 to 2021 involving the studied behaviors. Three random forest regression models were developed to identify the important corridor-level factors that affect the crash rate for all crashes (model 1), FI crashes (model 2), and only FI crashes caused by careless or reckless driving (model 3). Corridors in Pasco County, corridors with greater signalized intersection densities, and corridors with six or more lanes had above average predicted crash rates for all three models. In addition, corridors with speed limits greater than 45 mph (model 1), two lanes (models 1 and 3), no school zones (models 1 and 3), bike lanes (models 2 and 3), and no horizontal curvature (models 2 and 3) were predicted to have higher than average crash rates. By considering these factors when making allocation decisions, law enforcement agencies can likely reduce crashes, injuries, and fatalities caused by these unsafe behaviors.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981241234921
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2024
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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  • 3
    Online Resource
    Online Resource
    Analysis of Performance Data Collected from Two Wrong-Way Driving Advanced Technology Countermeasures and Results of Countermeasures Stakeholder Surveys
    SAGE Publications ; 2018
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2672, No. 14 ( 2018-12), p. 96-105
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2672, No. 14 ( 2018-12), p. 96-105
    Abstract: Wrong-way driving (WWD) often leads to severe collisions that cause serious injuries and deaths. Conventional “Wrong Way” signs can reduce WWD events, but can be insufficient in some cases. In areas with many WWD events, transportation agencies can be proactive by considering the use of countermeasures with advanced technologies to actively warn motorists of WWD violations. This paper analyzes recent performance data collected from two types of advanced technology WWD countermeasures implemented in Florida: light-emitting diode (LED) signs in South Florida and rectangular flashing beacon (RFB) signs in Central Florida. The 17 LED sites experienced a 38% reduction in WWD citations and 911 calls after the signs were installed. Images taken by the on-site cameras were examined to see how many vehicles turned around for both the RFB and LED treatment sites. Over 77% of the 170-detected wrong-way vehicles self-corrected their wrong-way movement at the RFB sites (each with two sets of signs and multiple cameras) and 14% self-corrected at the LED sites (each with one set of signs and one camera). Surveys were also conducted regarding these two WWD countermeasures. More than 73% of the 2,052 respondents preferred RFBs over LEDs, mainly due to the double set of RFB signs and their flashing pattern. The performance and survey results show that both the LEDs and RFBs have effectively reduced WWD movements. However, modifications could be made to both countermeasures to improve their detection ability and make wrong-way drivers more likely to turn around.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/0361198118778933
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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  • 4
    Online Resource
    Online Resource
    Wrong-Way Driving : Multifactor Risk-Based Model for Florida Interstates and Toll Facilities
    SAGE Publications ; 2015
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2484, No. 1 ( 2015-01), p. 119-128
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2484, No. 1 ( 2015-01), p. 119-128
    Abstract: Wrong-way driving (WWD) is one of the most dangerous driver errors or behaviors on limited access facilities. Previous studies focused on analyzing WWD crashes but discovered that WWD crashes were extremely rare. Using WWD 911 calls and WWD citations, which occur much more frequently than WWD crashes, to help predict WWD risk allows roadway agencies to be proactive and implement WWD countermeasures at problem areas instead of waiting for serious WWD crashes to occur. This study developed a model to determine WWD risk according to WWD crashes, citations, and 911 calls. For the development of this novel model, a market basket analysis was used to determine the overlap between the three WWD data sets (crashes, 911 calls, and citations for the years 2011 and 2012 on Florida Interstates and toll roads). The independent WWD events were then used to develop a generalized Poisson regression model that allowed the WWD 911 calls, citations, and crash frequencies to be converted to WWD risk values. WWD risk densities were also calculated by using either vehicle miles traveled or roadway length to consider exposure. The counties and roadways were then ranked with respect to WWD risk values and densities; these rankings indicated that Miami–Dade was a problematic county because it was ranked highest by WWD risk value and its nine Interstates or toll roads were ranked in the top 15 by WWD risk density. The developed model and macroscopic rankings are very useful to help identify counties and roadways where WWD countermeasures should be implemented.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2484-13
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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  • 5
    Online Resource
    Online Resource
    Using Crowdsourced Data to Reduce Traffic Congestion by Improving Detection of and Response to Disabled or Abandoned Vehicles on Florida Limited-Access Facilities
    SAGE Publications ; 2023
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2677, No. 11 ( 2023-11), p. 309-323
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2677, No. 11 ( 2023-11), p. 309-323
    Abstract: Disabled or abandoned vehicles (DAVs) cause a significant proportion of non-recurring traffic congestion. Waze data has the potential to help traffic management center (TMC) operators detect and respond to DAVs more quickly, reducing congestion. Previous studies have examined Waze data on a small scale, but not at a statewide level. This paper analyzes over 2 years of DAV Waze data on Florida Department of Transportation (FDOT) limited-access roadways (with more than 10 million alerts) and compares them with reported DAV events (crashes and non-crash TMC reports). Over 46% of the DAV events had an associated Waze alert before the DAV event occurred, indicating significant potential for earlier detection. These Waze alerts typically happened about 16 min before the DAV event and were most common during daytime hours and in urban areas. Two roadway segments, I-4 in FDOT District 5 and State Road 91 (SR-91) in FDOT District 4, were examined in more detail. A methodology was developed to estimate the delay reduction and congestion savings achieved by the earlier detection provided by the Waze alerts for lane-blocking and shoulder-blocking disabled vehicle events. The estimated congestion savings for the second half of 2019 were $4.3 million (I-4) and $2.5 million (SR-91), with benefit-cost ratios of 61 and 27, respectively. An additional $4.3 million could potentially have been saved as a result of Waze alerts allowing responders to reach DAVs before a crash occurred. These results can help agencies understand how crowdsourced data can be effectively utilized to best improve freeway operations.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981231165516
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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  • 6
    Online Resource
    Online Resource
    Improving Law Enforcement and Emergency Response to Disabled Vehicle Crashes Using Waze Crowdsourced Data
    SAGE Publications ; 2024
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2678, No. 5 ( 2024-05), p. 666-676
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2678, No. 5 ( 2024-05), p. 666-676
    Abstract: Disabled and abandoned vehicles (DAVs) on limited access freeways are exposure risks that can result in congestion and crashes. Improving law enforcement response to DAVs can reduce their impact and potentially prevent some crashes from occurring. Crowdsourced data, such as Waze user alerts, can provide near real-time information on highway conditions, including the presence of DAVs. The challenge is effectively filtering the data so law enforcement can more efficiently respond to actual DAV incidents. In this paper, over 3.8 million Waze alerts and 329 DAV crashes on Florida limited access roadways from July 1, 2019, to December 31, 2020, were analyzed to determine appropriate matching parameters, characteristics, and potential benefits that could be provided by the Waze alerts. Evaluation of various spatiotemporal buffers to match Waze and crash data showed that buffers of 0.5 km (0.31 mi) and 30 min would provide the best matching. Using these buffers, 41 crashes were found to have matched Waze alerts. Analyses of these matched data showed that DAV Waze alerts would likely provide the most benefits during morning peak hours and on urban interstates. The earlier detection because of Waze alerts could have potentially allowed responders to reach 12 DAVs before a crash occurred. This earlier response could have potentially prevented over US$23 million in comprehensive crash costs. The results from this paper can be used to develop more efficient DAV response strategies using crowdsourced data, allowing law enforcement to better detect DAVs while keeping the number of alerts at a manageable level.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981231191522
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2024
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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  • 7
    Online Resource
    Online Resource
    Identifying Corridor-Level Safety Improvements for Urban and Suburban Arterials in Florida Within a Safe System Framework
    SAGE Publications ; 2024
    In:  Transportation Research Record: Journal of the Transportation Research Board
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications
    Abstract: Many agencies have adopted a Safe System approach to improving roadway safety. The Highway Safety Manual (HSM) provides methods for assessing safety, but these models are site-specific and require extensive data, making them difficult to use at large scales. This paper develops a corridor-level methodology for holistically looking at corridors made of consecutive intersections and roadway segments to identify safety improvements which align with the Safe System approach while requiring less data than HSM methods. Using a standardized definition, a total of 549 corridors on urban and suburban arterials across Florida were identified which experienced over 10,000 fatal and serious injury (FSI) crashes from 2017 through 2021. A negative binomial regression model was developed to predict mean FSI (MFSI) crashes at the corridor level (using corridor length as exposure), with the predicted values adjusted using the Empirical Bayes method to provide more accurate results. The significant factors in the model were traffic volume, intersection densities and sizing, area type, bus stop presence, citation rate, and corridor lighting presence. Increasing citation rates (citations/year/mile) for unsafe driving behaviors by one unit was predicted to reduce MFSI crash frequency in corridors by 2%, and corridors without lighting were predicted to experience 2.79 times more MFSI crashes compared with corridors with lighting. Two sister corridors in South Florida with similar roadway characteristics but different crash frequencies were also analyzed. Improvements to lighting and access control in the identified high-risk corridor could help reduce FSI crashes. Overall, this corridor approach can help agencies proactively improve roadway safety.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981241234914
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2024
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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  • 8
    Online Resource
    Online Resource
    Evaluating Wrong-Way Driving Characteristics, Countermeasures, and Alert Dissemination Methods through Driver and Law Enforcement Surveys
    SAGE Publications ; 2018
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2672, No. 33 ( 2018-12), p. 42-55
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2672, No. 33 ( 2018-12), p. 42-55
    Abstract: Wrong-way driving (WWD) on limited-access highways is a serious driver error that could be fatal for both the wrong-way driver and right-way drivers. Agencies and law enforcement officers (LEOs) can spend valuable time and resources responding to WWD events. A survey of 247 LEOs found that despite being dispatched multiple times per year in response to WWD, most issue fewer than one WWD citation per year. In the survey, LEOs also gave their perspectives on the characteristics of WWD events and the influences behind WWD. Agencies typically use dynamic message signs (DMS) for notifying right-way drivers of WWD events, but little research has considered solutions that are less costly and potentially farther-reaching. A survey of 900 Florida toll-road drivers found that drivers rely on navigation devices, apps, or both, significantly more than DMS for traveler information. Drivers were receptive to receiving WWD alerts through navigation services and indicated that they would react to WWD events in a way that is beneficial to highway safety. Crowdsourcing technologies were considered to generate WWD information and quickly disseminate alerts to drivers and officers. Additional survey questions answered by a combined group of 2,052 drivers, LEOs, and agency officials determined that among advanced WWD countermeasures, most preferred two sets of “Wrong Way” signs equipped with rectangular flashing beacons over one set of signs with light emitting diodes. Combining advanced countermeasures with innovative right-way driver notification methods could enhance law enforcement efficiency, reduce WWD crashes, and provide safer conditions for both drivers and officers.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/0361198118778943
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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  • 9
    Online Resource
    Online Resource
    Analyzing Disabled Vehicle Incident Durations and Crash Response to Identify Service Patrol Expansions and Reduce the Need for Law Enforcement Involvement
    SAGE Publications ; 2022
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2676, No. 7 ( 2022-07), p. 630-641
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2676, No. 7 ( 2022-07), p. 630-641
    Abstract: Florida’s Road Rangers (RRs) are the state’s safety service patrol. Over 60% of RR responses are for disabled vehicles. This paper investigates the impact RRs have on disabled vehicle events and identifies roads with potential for expansion of RR patrol hours by analyzing 2019 incident and crash data. Over 213,000 disabled vehicle incidents occurred on roadways with partial RR coverage, with 20% occurring during RR inactive periods. The average incident duration more than doubled during inactive periods from 49 min to 100 min. After analyzing several factors, such as incident duration differences and percentage of inactive events, I-10 in Florida’s panhandle was identified as the roadway which would most benefit from increased patrol hours. Ninety-five disabled vehicle crashes occurred on roadways with partial RR coverage, with 56% occurring during inactive patrol hours; these inactive period crashes resulted in 70% of the injuries and 67% of the fatalities. The Tampa area had many crashes (especially during inactive periods), so roadways in this area would benefit from increased patrol hours. A significant relationship between RR presence and response activity duration was found, with an average response activity duration of 106 min during inactive periods and 71 min during active periods. These results show the importance of increasing the periods of RR coverage and how RRs assist law enforcement by responding to disabled vehicle events and their associated crashes, allowing law enforcement to focus their efforts on more severe crashes or other traffic-impacting events.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981221082583
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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  • 10
    Online Resource
    Online Resource
    Modeling the Risk of Wrong-Way Driving on Freeways and Toll Roads
    SAGE Publications ; 2016
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2554, No. 1 ( 2016-01), p. 166-176
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2554, No. 1 ( 2016-01), p. 166-176
    Abstract: Wrong-way driving (WWD) is dangerous and poses a significant legal and safety risk when it occurs on limited access facilities. Most previous studies focused on WWD crashes to develop countermeasures. The combined risk of WWD citations and 911 calls, however, has been overlooked. Furthermore, because WWD crashes are rare and represent less than 3% of all crashes, such crashes are difficult to analyze. WWD prediction is an important assessment because it can help mitigate and reduce future occurrences. This paper builds on previous work pioneered by the authors in which WWD crashes were predicted with the use of WWD noncrash events (e.g., citations and 911 calls). These WWD noncrash events occur more frequently, and their data are widely available. The paper demonstrates how WWD 911 calls and citations, along with route characteristics, can be linked to WWD crashes and so target corridors for countermeasures. Two models were developed and applied in South Florida to identify WWD hot spots. The first model shows that WWD citations and 911 calls positively affect yearly crash prediction. The second model identifies hot spot segments in a route and predicts crashes during a 4-year period. This second model predicts crashes with the use of several variables, such as major interchanges per mile, directional interchanges per mile, and WWD 911 calls along the segment. The findings showed high WWD risk values on SR-821 (Homestead Extension) from Exits 20 to 39 and on SR-9 (I-95) from Exits 0 to 6B and Exits 7 to 14.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2554-18
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2016
    detail.hit.zdb_id: 190260-X
    detail.hit.zdb_id: 2403378-9
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