Exploring pedestrian surrogate safety measures by road geometry at midblock crosswalks: A perspective under mixed traffic conditions

Chaudhari, Avinash; Gore, Ninad; Arkatkar, Shriniwas; Joshi, Gaurang; Pulugurtha, Srinivas S.

doi:10.1016/j.iatssr.2020.06.001

Cited by 39 publications

(12 citation statements)

References 34 publications

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“…To measure potential risk, these systems applied various standardized features such as TTC and PET with predicting trajectories, but not providing risk severity division. The closest approach to ours was [45], which similarly targeted near-miss collisions between vehicle and pedestrian based on video sources along with survey. By contrast, our process used only video data, and further can categorized severity of levels as three divisions; danger, warning, and relative safer according to time second, 𝑡 𝑗 .…”

Section: Targetmentioning

confidence: 99%

A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure

Noh

Yeo

2022

Transportation Research Part C: Emerging Technologies

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Section: Targetmentioning

confidence: 99%

A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure

Noh

Yeo

2022

Transportation Research Part C: Emerging Technologies

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“…The main risk for pedestrians is the problem associated with various factors, including driver behavior, especially those related to driving speed, pedestrian infrastructures such as sidewalks, markings, crossings, and elevated medians (Ahmed et al, 2021;Chaudhari et al, 2021). Factors that affect the safety and comfort of pedestrian facilities are conflicts on pedestrian paths, security from crime, the safety of pedestrians, the behavior of motorists towards pedestrians, maintenance and cleanliness, and availability of crossing infrastructure (Erlangga Dwiky; Handayani Dewi; Syafi'i, 2020).…”

Section: Literature Review Pedestrian Safetymentioning

confidence: 99%

A Brief Review: Variable for Determining the Design of Pedestrian Crossing Facilities

Rusmandani¹,

Jepriadi²

2022

cset

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Pedestrian facilities play an important role in encouraging walking ability, which can help improve the quality of life of our citizens and livability in urban areas. Pedestrian safety needs to be an important concern because pedestrians are vulnerable to road users in traffic spaces. Variables in determining pedestrian crossing facilities have been defined in each country, but whether it can accommodate pedestrian safety needs. This study aims to inventory the variables used to determine pedestrian crossing facilities. The results obtained are that in addition to pedestrian traffic and vehicular traffic, it is necessary to consider the type of road, pedestrian speed, and speed of passing vehicles in determining recommendations for crossing facilities. In future research, it is necessary to include them in the equation to determine these recommendations.

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“…This study proposed LiDAR data to be very suitable in studying vehicle–pedestrian interaction. Another study by Chaudhari et al inferred gap acceptance as a good indicator of vehicle–pedestrian interaction, representing safety during midblock crossings ( 24 ). Golakiya and Dhamaniya developed specific safety index threshold values for different cases of crossing based on vehicle heterogeneity ( 33 ).…”

mentioning

confidence: 99%

“…The literature presents several studies where postencroachment time (PET) has been used to study pedestrian traffic safety while crossing roads (23)(24)(25)(26). Most of these studies used the traditional PET measure.…”

mentioning

confidence: 99%

“…Similarly, Rampza used a modified version of PET to study bicycle-vehicle interaction (28). The literature presents some vehicle-pedestrian-interaction studies using surrogate safety measures, some of which were focused on midblock locations (11,24,25,(29)(30)(31)(32)(33)(34). The trajectory of the pedestrian was tracked from LiDAR data using various tracking and identification algorithms.…”

mentioning

confidence: 99%

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LiDAR-Based Vehicle–Pedestrian Interaction Study on Midblock Crossing Using Trajectory-Based Modified Post-Encroachment Time

Vasudevan

Agarwala

Tiwari

2022

Transportation Research Record: Journal of the Transportation R

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Understanding pedestrian road crossing behavior is crucial in the interests of pedestrian traffic safety. The interaction between pedestrians and approaching vehicles at midblock road crossings is a complex process. The high degree of vehicle heterogeneity and poor lane discipline in low- and middle-income countries further adds to its complexity. Moreover, because of the lack of proper pedestrian facilities, pedestrian crossing behavior is quite different in low- and middle-income countries. It is necessary to have high-resolution data to study pedestrian crossing behavior. At midblock, pedestrians do not always take the shortest route while crossing the road and cross diagonally, moving toward or away from the approaching vehicle. The risk indicator of crossing changes based on the pedestrian path chosen. This study was based on studying vehicle–pedestrian interaction at midblock locations using light detection and ranging (LiDAR) data. This study considered a trajectory-based pedestrian modified post-encroachment time (PET) to account for the various possible pedestrian crossing trajectories. Suitable algorithms were developed to identify and track vehicles and pedestrians from the LiDAR point cloud data. The results showed the trajectory-based pedestrian modified PET to perform better than the traditional PET. The risk-taking appetite of pedestrians was also observed to be high when motorbikes were the approaching vehicle. This study showed the motorbike–pedestrian conflicts to be riskier as compared with car–pedestrian conflicts. The results obtained from this study would be helpful to practitioners in investing higher priority to proper pedestrian-related road infrastructure.

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Exploring pedestrian surrogate safety measures by road geometry at midblock crosswalks: A perspective under mixed traffic conditions

Cited by 39 publications

References 34 publications

A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure

A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure

A Brief Review: Variable for Determining the Design of Pedestrian Crossing Facilities

LiDAR-Based Vehicle–Pedestrian Interaction Study on Midblock Crossing Using Trajectory-Based Modified Post-Encroachment Time

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